From 300bde91806267a8cc030a4e804cbe82ff391975 Mon Sep 17 00:00:00 2001 From: Martin Porks Date: Tue, 27 Aug 2024 17:19:27 +0200 Subject: [PATCH 01/23] feat: support feature file --- .codecov.yaml | 17 ++ .cruft.json | 29 ++++ .editorconfig | 18 +++ .github/ISSUE_TEMPLATE/bug_report.yml | 89 +++++++++++ .github/ISSUE_TEMPLATE/config.yml | 1 + .github/ISSUE_TEMPLATE/feature_request.yml | 11 ++ .github/workflows/build.yaml | 29 ++++ .github/workflows/release.yaml | 29 ++++ .github/workflows/test.yaml | 67 ++++++++ .gitignore | 29 ++++ .pre-commit-config.yaml | 42 +++++ .readthedocs.yaml | 16 ++ CHANGELOG.md | 15 ++ LICENSE | 21 +++ README.md | 66 ++++++++ docs/Makefile | 20 +++ docs/_static/.gitkeep | 0 docs/_static/css/custom.css | 4 + docs/_templates/.gitkeep | 0 docs/_templates/autosummary/class.rst | 61 +++++++ docs/api.md | 38 +++++ docs/changelog.md | 3 + docs/conf.py | 129 +++++++++++++++ docs/contributing.md | 110 +++++++++++++ docs/extensions/typed_returns.py | 32 ++++ docs/index.md | 15 ++ docs/notebooks/example.ipynb | 171 ++++++++++++++++++++ docs/references.bib | 14 ++ docs/references.md | 5 + pyproject.toml | 139 ++++++++++++++++ src/cat/__init__.py | 8 + src/cat/cat.py | 175 +++++++++++++++++++++ src/cat/cli.py | 137 ++++++++++++++++ src/cat/dataset.py | 140 +++++++++++++++++ src/cat/report.py | 131 +++++++++++++++ src/cat/utils.py | 104 ++++++++++++ tests/datasets/features.tsv | 11 ++ tests/datasets/mock.h5ad | Bin 0 -> 5323464 bytes tests/test_basic.py | 12 ++ 39 files changed, 1938 insertions(+) create mode 100644 .codecov.yaml create mode 100644 .cruft.json create mode 100644 .editorconfig create mode 100644 .github/ISSUE_TEMPLATE/bug_report.yml create mode 100644 .github/ISSUE_TEMPLATE/config.yml create mode 100644 .github/ISSUE_TEMPLATE/feature_request.yml create mode 100644 .github/workflows/build.yaml create mode 100644 .github/workflows/release.yaml create mode 100644 .github/workflows/test.yaml create mode 100644 .gitignore create mode 100644 .pre-commit-config.yaml create mode 100644 .readthedocs.yaml create mode 100644 CHANGELOG.md create mode 100644 LICENSE create mode 100644 README.md create mode 100644 docs/Makefile create mode 100644 docs/_static/.gitkeep create mode 100644 docs/_static/css/custom.css create mode 100644 docs/_templates/.gitkeep create mode 100644 docs/_templates/autosummary/class.rst create mode 100644 docs/api.md create mode 100644 docs/changelog.md create mode 100644 docs/conf.py create mode 100644 docs/contributing.md create mode 100644 docs/extensions/typed_returns.py create mode 100644 docs/index.md create mode 100644 docs/notebooks/example.ipynb create mode 100644 docs/references.bib create mode 100644 docs/references.md create mode 100644 pyproject.toml create mode 100644 src/cat/__init__.py create mode 100644 src/cat/cat.py create mode 100644 src/cat/cli.py create mode 100644 src/cat/dataset.py create mode 100644 src/cat/report.py create mode 100644 src/cat/utils.py create mode 100644 tests/datasets/features.tsv create mode 100755 tests/datasets/mock.h5ad create mode 100644 tests/test_basic.py diff --git a/.codecov.yaml b/.codecov.yaml new file mode 100644 index 0000000..d0c0e29 --- /dev/null +++ b/.codecov.yaml @@ -0,0 +1,17 @@ +# Based on pydata/xarray +codecov: + require_ci_to_pass: no + +coverage: + status: + project: + default: + # Require 1% coverage, i.e., always succeed + target: 1 + patch: false + changes: false + +comment: + layout: diff, flags, files + behavior: once + require_base: no diff --git a/.cruft.json b/.cruft.json new file mode 100644 index 0000000..360bde4 --- /dev/null +++ b/.cruft.json @@ -0,0 +1,29 @@ +{ + "template": "https://github.com/scverse/cookiecutter-scverse", + "commit": "75c74be1a7c2ed7e5503510af0c535a3e105ab37", + "checkout": null, + "context": { + "cookiecutter": { + "project_name": "CAT", + "package_name": "cat", + "project_description": "Cluster Alignment Tool (CAT)", + "author_full_name": "Alex Valentin Nielsen, Martin Proks, Ala Trusina", + "author_email": "yourname@example.com", + "github_user": "matq007", + "project_repo": "https://github.com/brickmanlab/CAT", + "license": "MIT License", + "_copy_without_render": [ + ".github/workflows/build.yaml", + ".github/workflows/test.yaml", + "docs/_templates/autosummary/**.rst" + ], + "_render_devdocs": false, + "_jinja2_env_vars": { + "lstrip_blocks": true, + "trim_blocks": true + }, + "_template": "https://github.com/scverse/cookiecutter-scverse" + } + }, + "directory": null +} diff --git a/.editorconfig b/.editorconfig new file mode 100644 index 0000000..050f911 --- /dev/null +++ b/.editorconfig @@ -0,0 +1,18 @@ +root = true + +[*] +indent_style = space +indent_size = 4 +end_of_line = lf +charset = utf-8 +trim_trailing_whitespace = true +insert_final_newline = true + +[*.{yml,yaml}] +indent_size = 2 + +[.cruft.json] +indent_size = 2 + +[Makefile] +indent_style = tab diff --git a/.github/ISSUE_TEMPLATE/bug_report.yml b/.github/ISSUE_TEMPLATE/bug_report.yml new file mode 100644 index 0000000..a5a20e6 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/bug_report.yml @@ -0,0 +1,89 @@ +name: Bug report +description: Report something that is broken or incorrect +labels: bug +body: + - type: markdown + attributes: + value: | + **Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports) + detailing how to provide the necessary information for us to reproduce your bug. In brief: + * Please provide exact steps how to reproduce the bug in a clean Python environment. + * In case it's not clear what's causing this bug, please provide the data or the data generation procedure. + * Sometimes it is not possible to share the data, but usually it is possible to replicate problems on publicly + available datasets or to share a subset of your data. + + - type: textarea + id: report + attributes: + label: Report + description: A clear and concise description of what the bug is. + validations: + required: true + + - type: textarea + id: versions + attributes: + label: Version information + description: | + Please paste below the output of + + ```python + import session_info + session_info.show(html=False, dependencies=True) + ``` + placeholder: | + ----- + anndata 0.8.0rc2.dev27+ge524389 + session_info 1.0.0 + ----- + asttokens NA + awkward 1.8.0 + backcall 0.2.0 + cython_runtime NA + dateutil 2.8.2 + debugpy 1.6.0 + decorator 5.1.1 + entrypoints 0.4 + executing 0.8.3 + h5py 3.7.0 + ipykernel 6.15.0 + jedi 0.18.1 + mpl_toolkits NA + natsort 8.1.0 + numpy 1.22.4 + packaging 21.3 + pandas 1.4.2 + parso 0.8.3 + pexpect 4.8.0 + pickleshare 0.7.5 + pkg_resources NA + prompt_toolkit 3.0.29 + psutil 5.9.1 + ptyprocess 0.7.0 + pure_eval 0.2.2 + pydev_ipython NA + pydevconsole NA + pydevd 2.8.0 + pydevd_file_utils NA + pydevd_plugins NA + pydevd_tracing NA + pygments 2.12.0 + pytz 2022.1 + scipy 1.8.1 + setuptools 62.5.0 + setuptools_scm NA + six 1.16.0 + stack_data 0.3.0 + tornado 6.1 + traitlets 5.3.0 + wcwidth 0.2.5 + zmq 23.1.0 + ----- + IPython 8.4.0 + jupyter_client 7.3.4 + jupyter_core 4.10.0 + ----- + Python 3.9.13 | packaged by conda-forge | (main, May 27 2022, 16:58:50) [GCC 10.3.0] + Linux-5.18.6-arch1-1-x86_64-with-glibc2.35 + ----- + Session information updated at 2022-07-07 17:55 diff --git a/.github/ISSUE_TEMPLATE/config.yml b/.github/ISSUE_TEMPLATE/config.yml new file mode 100644 index 0000000..3ba13e0 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/config.yml @@ -0,0 +1 @@ +blank_issues_enabled: false diff --git a/.github/ISSUE_TEMPLATE/feature_request.yml b/.github/ISSUE_TEMPLATE/feature_request.yml new file mode 100644 index 0000000..b849ec2 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/feature_request.yml @@ -0,0 +1,11 @@ +name: Feature request +description: Propose a new feature for CAT +labels: enhancement +body: + - type: textarea + id: description + attributes: + label: Description of feature + description: Please describe your suggestion for a new feature. It might help to describe a problem or use case, plus any alternatives that you have considered. + validations: + required: true diff --git a/.github/workflows/build.yaml b/.github/workflows/build.yaml new file mode 100644 index 0000000..265a95e --- /dev/null +++ b/.github/workflows/build.yaml @@ -0,0 +1,29 @@ +name: Check Build + +on: + push: + branches: [main] + pull_request: + branches: [main] + +concurrency: + group: ${{ github.workflow }}-${{ github.ref }} + cancel-in-progress: true + +jobs: + package: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v3 + - name: Set up Python 3.10 + uses: actions/setup-python@v4 + with: + python-version: "3.10" + cache: "pip" + cache-dependency-path: "**/pyproject.toml" + - name: Install build dependencies + run: python -m pip install --upgrade pip wheel twine build + - name: Build package + run: python -m build + - name: Check package + run: twine check --strict dist/*.whl diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml new file mode 100644 index 0000000..383cfe6 --- /dev/null +++ b/.github/workflows/release.yaml @@ -0,0 +1,29 @@ +name: Release + +on: + release: + types: [published] + +# Use "trusted publishing", see https://docs.pypi.org/trusted-publishers/ +jobs: + release: + name: Upload release to PyPI + runs-on: ubuntu-latest + environment: + name: pypi + url: https://pypi.org/p/cat + permissions: + id-token: write # IMPORTANT: this permission is mandatory for trusted publishing + steps: + - uses: actions/checkout@v4 + with: + filter: blob:none + fetch-depth: 0 + - uses: actions/setup-python@v4 + with: + python-version: "3.x" + cache: "pip" + - run: pip install build + - run: python -m build + - name: Publish package distributions to PyPI + uses: pypa/gh-action-pypi-publish@release/v1 diff --git a/.github/workflows/test.yaml b/.github/workflows/test.yaml new file mode 100644 index 0000000..2bfe232 --- /dev/null +++ b/.github/workflows/test.yaml @@ -0,0 +1,67 @@ +name: Test + +on: + push: + branches: [main] + pull_request: + branches: [main] + schedule: + - cron: "0 5 1,15 * *" + +concurrency: + group: ${{ github.workflow }}-${{ github.ref }} + cancel-in-progress: true + +jobs: + test: + runs-on: ${{ matrix.os }} + defaults: + run: + shell: bash -e {0} # -e to fail on error + + strategy: + fail-fast: false + matrix: + include: + - os: ubuntu-latest + python: "3.10" + - os: ubuntu-latest + python: "3.12" + - os: ubuntu-latest + python: "3.12" + pip-flags: "--pre" + name: PRE-RELEASE DEPENDENCIES + + name: ${{ matrix.name }} Python ${{ matrix.python }} + + env: + OS: ${{ matrix.os }} + PYTHON: ${{ matrix.python }} + + steps: + - uses: actions/checkout@v3 + - name: Set up Python ${{ matrix.python }} + uses: actions/setup-python@v4 + with: + python-version: ${{ matrix.python }} + cache: "pip" + cache-dependency-path: "**/pyproject.toml" + + - name: Install test dependencies + run: | + python -m pip install --upgrade pip wheel + - name: Install dependencies + run: | + pip install ${{ matrix.pip-flags }} ".[dev,test]" + - name: Test + env: + MPLBACKEND: agg + PLATFORM: ${{ matrix.os }} + DISPLAY: :42 + run: | + coverage run -m pytest -v --color=yes + - name: Report coverage + run: | + coverage report + - name: Upload coverage + uses: codecov/codecov-action@v3 diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..eeec7e2 --- /dev/null +++ b/.gitignore @@ -0,0 +1,29 @@ +# Temp files +.DS_Store +*~ +buck-out/ + +# Compiled files +.venv/ +__pycache__/ +.mypy_cache/ +.ruff_cache/ + +# Distribution / packaging +/build/ +/dist/ +/*.egg-info/ + +# Tests and coverage +/.pytest_cache/ +/.cache/ +/data/ +/node_modules/ + +# docs +/docs/generated/ +/docs/_build/ + +# IDEs +/.idea/ +/.vscode/ diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml new file mode 100644 index 0000000..00fefdb --- /dev/null +++ b/.pre-commit-config.yaml @@ -0,0 +1,42 @@ +fail_fast: false +default_language_version: + python: python3 +default_stages: + - commit + - push +minimum_pre_commit_version: 2.16.0 +repos: + - repo: https://github.com/pre-commit/mirrors-prettier + rev: v4.0.0-alpha.8 + hooks: + - id: prettier + - repo: https://github.com/astral-sh/ruff-pre-commit + rev: v0.4.10 + hooks: + - id: ruff + types_or: [python, pyi, jupyter] + args: [--fix, --exit-non-zero-on-fix] + - id: ruff-format + types_or: [python, pyi, jupyter] + - repo: https://github.com/pre-commit/pre-commit-hooks + rev: v4.6.0 + hooks: + - id: detect-private-key + - id: check-ast + - id: end-of-file-fixer + - id: mixed-line-ending + args: [--fix=lf] + - id: trailing-whitespace + - id: check-case-conflict + # Check that there are no merge conflicts (could be generated by template sync) + - id: check-merge-conflict + args: [--assume-in-merge] + - repo: local + hooks: + - id: forbid-to-commit + name: Don't commit rej files + entry: | + Cannot commit .rej files. These indicate merge conflicts that arise during automated template updates. + Fix the merge conflicts manually and remove the .rej files. + language: fail + files: '.*\.rej$' diff --git a/.readthedocs.yaml b/.readthedocs.yaml new file mode 100644 index 0000000..69897c3 --- /dev/null +++ b/.readthedocs.yaml @@ -0,0 +1,16 @@ +# https://docs.readthedocs.io/en/stable/config-file/v2.html +version: 2 +build: + os: ubuntu-20.04 + tools: + python: "3.10" +sphinx: + configuration: docs/conf.py + # disable this for more lenient docs builds + fail_on_warning: true +python: + install: + - method: pip + path: . + extra_requirements: + - doc diff --git a/CHANGELOG.md b/CHANGELOG.md new file mode 100644 index 0000000..e7b7808 --- /dev/null +++ b/CHANGELOG.md @@ -0,0 +1,15 @@ +# Changelog + +All notable changes to this project will be documented in this file. + +The format is based on [Keep a Changelog][], +and this project adheres to [Semantic Versioning][]. + +[keep a changelog]: https://keepachangelog.com/en/1.0.0/ +[semantic versioning]: https://semver.org/spec/v2.0.0.html + +## [Unreleased] + +### Added + +- Basic tool, preprocessing and plotting functions diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..d226c57 --- /dev/null +++ b/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2024, Alex Valentin Nielsen, Martin Proks, Ala Trusina + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/README.md b/README.md new file mode 100644 index 0000000..9773107 --- /dev/null +++ b/README.md @@ -0,0 +1,66 @@ +# CAT + +[![Tests][badge-tests]][link-tests] +[![Documentation][badge-docs]][link-docs] + +[badge-tests]: https://img.shields.io/github/actions/workflow/status/matq007/CAT/test.yaml?branch=main +[link-tests]: https://github.com/brickmanlab/CAT/actions/workflows/test.yml +[badge-docs]: https://img.shields.io/readthedocs/CAT + +Cluster Alignment Tool (CAT) + +## Testing + +```bash +catcli \ + --ds1 ./tests/datasets/mock.h5ad \ + --ds1_name DS1 \ + --ds1_cluster Condition_E+D \ + --ds2 ./tests/datasets/mock.h5ad \ + --ds2_name DS2 \ + --ds2_cluster Condition_E+D \ + --output ./res +``` + +## Getting started + +Please refer to the [documentation][link-docs]. In particular, the + +- [API documentation][link-api]. + +## Installation + +You need to have Python 3.10 or newer installed on your system. If you don't have +Python installed, we recommend installing [Mambaforge](https://github.com/conda-forge/miniforge#mambaforge). + +There are several alternative options to install CAT: + +1. Install the latest release of `cat-python` from [PyPI][link-pypi]: + +```bash +pip install cat-python +``` + +1. Install the latest development version: + +```bash +pip install git+https://github.com/brickmanlab/CAT.git@main +``` + +## Release notes + +See the [changelog][changelog]. + +## Contact + +If you found a bug, please use the [issue tracker][issue-tracker]. + +## Citation + +> Rothová, M.M., Nielsen, A.V., Proks, M. et al. Identification of the central intermediate in the extra-embryonic to embryonic endoderm transition through single-cell transcriptomics. Nat Cell Biol 24, 833–844 (2022). https://doi.org/10.1038/s41556-022-00923-x + +[issue-tracker]: https://github.com/matq007/CAT/issues +[changelog]: https://CAT.readthedocs.io/latest/changelog.html +[link-docs]: https://CAT.readthedocs.io +[link-api]: https://CAT.readthedocs.io/latest/api.html +[link-pypi]: https://pypi.org/project/CAT diff --git a/docs/Makefile b/docs/Makefile new file mode 100644 index 0000000..d4bb2cb --- /dev/null +++ b/docs/Makefile @@ -0,0 +1,20 @@ +# Minimal makefile for Sphinx documentation +# + +# You can set these variables from the command line, and also +# from the environment for the first two. +SPHINXOPTS ?= +SPHINXBUILD ?= sphinx-build +SOURCEDIR = . +BUILDDIR = _build + +# Put it first so that "make" without argument is like "make help". +help: + @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) + +.PHONY: help Makefile + +# Catch-all target: route all unknown targets to Sphinx using the new +# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). +%: Makefile + @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) diff --git a/docs/_static/.gitkeep b/docs/_static/.gitkeep new file mode 100644 index 0000000..e69de29 diff --git a/docs/_static/css/custom.css b/docs/_static/css/custom.css new file mode 100644 index 0000000..b8c8d47 --- /dev/null +++ b/docs/_static/css/custom.css @@ -0,0 +1,4 @@ +/* Reduce the font size in data frames - See https://github.com/scverse/cookiecutter-scverse/issues/193 */ +div.cell_output table.dataframe { + font-size: 0.8em; +} diff --git a/docs/_templates/.gitkeep b/docs/_templates/.gitkeep new file mode 100644 index 0000000..e69de29 diff --git a/docs/_templates/autosummary/class.rst b/docs/_templates/autosummary/class.rst new file mode 100644 index 0000000..e4665df --- /dev/null +++ b/docs/_templates/autosummary/class.rst @@ -0,0 +1,61 @@ +{{ fullname | escape | underline}} + +.. currentmodule:: {{ module }} + +.. add toctree option to make autodoc generate the pages + +.. autoclass:: {{ objname }} + +{% block attributes %} +{% if attributes %} +Attributes table +~~~~~~~~~~~~~~~~~~ + +.. autosummary:: +{% for item in attributes %} + ~{{ fullname }}.{{ item }} +{%- endfor %} +{% endif %} +{% endblock %} + +{% block methods %} +{% if methods %} +Methods table +~~~~~~~~~~~~~ + +.. autosummary:: +{% for item in methods %} + {%- if item != '__init__' %} + ~{{ fullname }}.{{ item }} + {%- endif -%} +{%- endfor %} +{% endif %} +{% endblock %} + +{% block attributes_documentation %} +{% if attributes %} +Attributes +~~~~~~~~~~~ + +{% for item in attributes %} + +.. autoattribute:: {{ [objname, item] | join(".") }} +{%- endfor %} + +{% endif %} +{% endblock %} + +{% block methods_documentation %} +{% if methods %} +Methods +~~~~~~~ + +{% for item in methods %} +{%- if item != '__init__' %} + +.. automethod:: {{ [objname, item] | join(".") }} +{%- endif -%} +{%- endfor %} + +{% endif %} +{% endblock %} diff --git a/docs/api.md b/docs/api.md new file mode 100644 index 0000000..c5e167b --- /dev/null +++ b/docs/api.md @@ -0,0 +1,38 @@ +# API + +## Preprocessing + +```{eval-rst} +.. module:: cat.pp +.. currentmodule:: cat + +.. autosummary:: + :toctree: generated + + pp.basic_preproc +``` + +## Tools + +```{eval-rst} +.. module:: cat.tl +.. currentmodule:: cat + +.. autosummary:: + :toctree: generated + + tl.basic_tool +``` + +## Plotting + +```{eval-rst} +.. module:: cat.pl +.. currentmodule:: cat + +.. autosummary:: + :toctree: generated + + pl.basic_plot + pl.BasicClass +``` diff --git a/docs/changelog.md b/docs/changelog.md new file mode 100644 index 0000000..d9e79ba --- /dev/null +++ b/docs/changelog.md @@ -0,0 +1,3 @@ +```{include} ../CHANGELOG.md + +``` diff --git a/docs/conf.py b/docs/conf.py new file mode 100644 index 0000000..707e67b --- /dev/null +++ b/docs/conf.py @@ -0,0 +1,129 @@ +# Configuration file for the Sphinx documentation builder. + +# This file only contains a selection of the most common options. For a full +# list see the documentation: +# https://www.sphinx-doc.org/en/master/usage/configuration.html + +# -- Path setup -------------------------------------------------------------- +import sys +from datetime import datetime +from importlib.metadata import metadata +from pathlib import Path + +HERE = Path(__file__).parent +sys.path.insert(0, str(HERE / "extensions")) + + +# -- Project information ----------------------------------------------------- + +# NOTE: If you installed your project in editable mode, this might be stale. +# If this is the case, reinstall it to refresh the metadata +info = metadata("CAT") +project_name = info["Name"] +author = info["Author"] +copyright = f"{datetime.now():%Y}, {author}." +version = info["Version"] +urls = dict(pu.split(", ") for pu in info.get_all("Project-URL")) +repository_url = urls["Source"] + +# The full version, including alpha/beta/rc tags +release = info["Version"] + +bibtex_bibfiles = ["references.bib"] +templates_path = ["_templates"] +nitpicky = True # Warn about broken links +needs_sphinx = "4.0" + +html_context = { + "display_github": True, # Integrate GitHub + "github_user": "matq007", + "github_repo": "https://github.com/brickmanlab/CAT", + "github_version": "main", + "conf_py_path": "/docs/", +} + +# -- General configuration --------------------------------------------------- + +# Add any Sphinx extension module names here, as strings. +# They can be extensions coming with Sphinx (named 'sphinx.ext.*') or your custom ones. +extensions = [ + "myst_nb", + "sphinx_copybutton", + "sphinx.ext.autodoc", + "sphinx.ext.intersphinx", + "sphinx.ext.autosummary", + "sphinx.ext.napoleon", + "sphinxcontrib.bibtex", + "sphinx_autodoc_typehints", + "sphinx.ext.mathjax", + "IPython.sphinxext.ipython_console_highlighting", + "sphinxext.opengraph", + *[p.stem for p in (HERE / "extensions").glob("*.py")], +] + +autosummary_generate = True +autodoc_member_order = "groupwise" +default_role = "literal" +napoleon_google_docstring = False +napoleon_numpy_docstring = True +napoleon_include_init_with_doc = False +napoleon_use_rtype = True # having a separate entry generally helps readability +napoleon_use_param = True +myst_heading_anchors = 6 # create anchors for h1-h6 +myst_enable_extensions = [ + "amsmath", + "colon_fence", + "deflist", + "dollarmath", + "html_image", + "html_admonition", +] +myst_url_schemes = ("http", "https", "mailto") +nb_output_stderr = "remove" +nb_execution_mode = "off" +nb_merge_streams = True +typehints_defaults = "braces" + +source_suffix = { + ".rst": "restructuredtext", + ".ipynb": "myst-nb", + ".myst": "myst-nb", +} + +intersphinx_mapping = { + "python": ("https://docs.python.org/3", None), + "anndata": ("https://anndata.readthedocs.io/en/stable/", None), + "numpy": ("https://numpy.org/doc/stable/", None), +} + +# List of patterns, relative to source directory, that match files and +# directories to ignore when looking for source files. +# This pattern also affects html_static_path and html_extra_path. +exclude_patterns = ["_build", "Thumbs.db", ".DS_Store", "**.ipynb_checkpoints"] + + +# -- Options for HTML output ------------------------------------------------- + +# The theme to use for HTML and HTML Help pages. See the documentation for +# a list of builtin themes. +# +html_theme = "sphinx_book_theme" +html_static_path = ["_static"] +html_css_files = ["css/custom.css"] + +html_title = project_name + +html_theme_options = { + "repository_url": repository_url, + "use_repository_button": True, + "path_to_docs": "docs/", + "navigation_with_keys": False, +} + +pygments_style = "default" + +nitpick_ignore = [ + # If building the documentation fails because of a missing link that is outside your control, + # you can add an exception to this list. + # ("py:class", "igraph.Graph"), +] diff --git a/docs/contributing.md b/docs/contributing.md new file mode 100644 index 0000000..62b4c75 --- /dev/null +++ b/docs/contributing.md @@ -0,0 +1,110 @@ +# Contributing guide + +## Installing dev dependencies + +In addition to the packages needed to _use_ this package, you need additional python packages to _run tests_ and _build +the documentation_. It's easy to install them using `pip`: + +```bash +cd CAT +pip install -e ".[dev,test,doc]" +``` + +## Code-style + +This package uses [pre-commit][] to enforce consistent code-styles. +On every commit, pre-commit checks will either automatically fix issues with the code, or raise an error message. + +To enable pre-commit locally, simply run + +```bash +pre-commit install +``` + +in the root of the repository. Pre-commit will automatically download all dependencies when it is run for the first time. + +Alternatively, you can rely on the [pre-commit.ci][] service enabled on GitHub. If you didn't run `pre-commit` before +pushing changes to GitHub it will automatically commit fixes to your pull request, or show an error message. + +If pre-commit.ci added a commit on a branch you still have been working on locally, simply use + +```bash +git pull --rebase +``` + +to integrate the changes into yours. +While the [pre-commit.ci][] is useful, we strongly encourage installing and running pre-commit locally first to understand its usage. + +Finally, most editors have an _autoformat on save_ feature. Consider enabling this option for [ruff][ruff-editors] +and [prettier][prettier-editors]. + +[ruff-editors]: https://docs.astral.sh/ruff/integrations/ +[prettier-editors]: https://prettier.io/docs/en/editors.html + +## Publishing a release + +### Updating the version number + +Before making a release, you need to update the version number in the `pyproject.toml` file. Please adhere to [Semantic Versioning][semver], in brief + +> Given a version number MAJOR.MINOR.PATCH, increment the: +> +> 1. MAJOR version when you make incompatible API changes, +> 2. MINOR version when you add functionality in a backwards compatible manner, and +> 3. PATCH version when you make backwards compatible bug fixes. +> +> Additional labels for pre-release and build metadata are available as extensions to the MAJOR.MINOR.PATCH format. + +Once you are done, commit and push your changes and navigate to the "Releases" page of this project on GitHub. +Specify `vX.X.X` as a tag name and create a release. For more information, see [managing GitHub releases][]. This will automatically create a git tag and trigger a Github workflow that creates a release on PyPI. + +## Writing documentation + +Please write documentation for new or changed features and use-cases. This project uses [sphinx][] with the following features: + +- the [myst][] extension allows to write documentation in markdown/Markedly Structured Text +- [Numpy-style docstrings][numpydoc] (through the [napoloen][numpydoc-napoleon] extension). +- Jupyter notebooks as tutorials through [myst-nb][] (See [Tutorials with myst-nb](#tutorials-with-myst-nb-and-jupyter-notebooks)) +- [Sphinx autodoc typehints][], to automatically reference annotated input and output types +- Citations (like {cite:p}`Rothova2022`) can be included with [sphinxcontrib-bibtex](https://sphinxcontrib-bibtex.readthedocs.io/) + +See the [scanpy developer docs](https://scanpy.readthedocs.io/en/latest/dev/documentation.html) for more information +on how to write documentation. + +### Tutorials with myst-nb and jupyter notebooks + +The documentation is set-up to render jupyter notebooks stored in the `docs/notebooks` directory using [myst-nb][]. +Currently, only notebooks in `.ipynb` format are supported that will be included with both their input and output cells. +It is your responsibility to update and re-run the notebook whenever necessary. + +If you are interested in automatically running notebooks as part of the continuous integration, please check +out [this feature request](https://github.com/scverse/cookiecutter-scverse/issues/40) in the `cookiecutter-scverse` +repository. + +#### Hints + +- If you refer to objects from other packages, please add an entry to `intersphinx_mapping` in `docs/conf.py`. Only + if you do so can sphinx automatically create a link to the external documentation. +- If building the documentation fails because of a missing link that is outside your control, you can add an entry to + the `nitpick_ignore` list in `docs/conf.py` + +#### Building the docs locally + +```bash +cd docs +make html +open _build/html/index.html +``` + + + +[pre-commit.ci]: https://pre-commit.ci/ +[myst-nb]: https://myst-nb.readthedocs.io/en/latest/ +[pre-commit]: https://pre-commit.com/ +[semver]: https://semver.org/ +[sphinx]: https://www.sphinx-doc.org/en/master/ +[myst]: https://myst-parser.readthedocs.io/en/latest/intro.html +[numpydoc-napoleon]: https://www.sphinx-doc.org/en/master/usage/extensions/napoleon.html +[numpydoc]: https://numpydoc.readthedocs.io/en/latest/format.html +[sphinx autodoc typehints]: https://github.com/tox-dev/sphinx-autodoc-typehints +[managing GitHub releases]: https://docs.github.com/en/repositories/releasing-projects-on-github/managing-releases-in-a-repository diff --git a/docs/extensions/typed_returns.py b/docs/extensions/typed_returns.py new file mode 100644 index 0000000..1135204 --- /dev/null +++ b/docs/extensions/typed_returns.py @@ -0,0 +1,32 @@ +# code from https://github.com/theislab/scanpy/blob/master/docs/extensions/typed_returns.py +# with some minor adjustment +from __future__ import annotations + +import re +from collections.abc import Generator, Iterable + +from sphinx.application import Sphinx +from sphinx.ext.napoleon import NumpyDocstring + + +def _process_return(lines: Iterable[str]) -> Generator[str, None, None]: + for line in lines: + if m := re.fullmatch(r"(?P\w+)\s+:\s+(?P[\w.]+)", line): + yield f'-{m["param"]} (:class:`~{m["type"]}`)' + else: + yield line + + +def _parse_returns_section(self: NumpyDocstring, section: str) -> list[str]: + lines_raw = self._dedent(self._consume_to_next_section()) + if lines_raw[0] == ":": + del lines_raw[0] + lines = self._format_block(":returns: ", list(_process_return(lines_raw))) + if lines and lines[-1]: + lines.append("") + return lines + + +def setup(app: Sphinx): + """Set app.""" + NumpyDocstring._parse_returns_section = _parse_returns_section diff --git a/docs/index.md b/docs/index.md new file mode 100644 index 0000000..8b5f298 --- /dev/null +++ b/docs/index.md @@ -0,0 +1,15 @@ +```{include} ../README.md + +``` + +```{toctree} +:hidden: true +:maxdepth: 1 + +api.md +changelog.md +contributing.md +references.md + +notebooks/example +``` diff --git a/docs/notebooks/example.ipynb b/docs/notebooks/example.ipynb new file mode 100644 index 0000000..d992a93 --- /dev/null +++ b/docs/notebooks/example.ipynb @@ -0,0 +1,171 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Example notebook" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "from anndata import AnnData\n", + "import pandas as pd\n", + "import cat" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "adata = AnnData(np.random.normal(size=(20, 10)))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "With myst it is possible to link in the text cell of a notebook such as this one the documentation of a function or a class.\n", + "\n", + "Let's take as an example the function {func}`cat.pp.basic_preproc`. \n", + "You can see that by clicking on the text, the link redirects to the API documentation of the function. \n", + "Check the raw markdown of this cell to understand how this is specified.\n", + "\n", + "This works also for any package listed by `intersphinx`. Go to `docs/conf.py` and look for the `intersphinx_mapping` variable. \n", + "There, you will see a list of packages (that this package is dependent on) for which this functionality is supported. \n", + "\n", + "For instance, we can link to the class {class}`anndata.AnnData`, to the attribute {attr}`anndata.AnnData.obs` or the method {meth}`anndata.AnnData.write`.\n", + "\n", + "Again, check the raw markdown of this cell to see how each of these links are specified.\n", + "\n", + "You can read more about this in the [intersphinx page](https://www.sphinx-doc.org/en/master/usage/extensions/intersphinx.html) and the [myst page](https://myst-parser.readthedocs.io/en/v0.15.1/syntax/syntax.html#roles-an-in-line-extension-point)." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Implement a preprocessing function here." + ] + }, + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cat.pp.basic_preproc(adata)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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These are fine when the result is immutable. + "B008", + # __magic__ methods are often self-explanatory, allow missing docstrings + "D105", + # first line should end with a period [Bug: doesn't work with single-line docstrings] + "D400", + # First line should be in imperative mood; try rephrasing + "D401", + ## Disable one in each pair of mutually incompatible rules + # We don’t want a blank line before a class docstring + "D203", + # We want docstrings to start immediately after the opening triple quote + "D213", +] + +[tool.ruff.lint.pydocstyle] +convention = "numpy" + +[tool.ruff.lint.per-file-ignores] +"docs/*" = ["I"] +"tests/*" = ["D"] +"*/__init__.py" = ["F401"] + +[tool.cruft] +skip = [ + "tests", + "src/**/__init__.py", + "src/**/basic.py", + "docs/api.md", + "docs/changelog.md", + "docs/references.bib", + "docs/references.md", + "docs/notebooks/example.ipynb", +] diff --git a/src/cat/__init__.py b/src/cat/__init__.py new file mode 100644 index 0000000..1807c02 --- /dev/null +++ b/src/cat/__init__.py @@ -0,0 +1,8 @@ +from importlib.metadata import version + +__version__ = version("CAT") +SIGMA = 1.6 +MIN_N_GENES = 20 +CLUSTER_FIELD = "cat_cluster" +N_ITERATIONS = 1_000 +DELIMITER = "#" diff --git a/src/cat/cat.py b/src/cat/cat.py new file mode 100644 index 0000000..b02b9ee --- /dev/null +++ b/src/cat/cat.py @@ -0,0 +1,175 @@ +import argparse +import logging +import sys +import warnings + +import anndata +import numpy as np +import polars as pl +from rich.progress import track +from scipy.spatial.distance import pdist, squareform + +from cat import CLUSTER_FIELD, MIN_N_GENES, N_ITERATIONS +from cat.dataset import Dataset, DatasetDiff +from cat.report import generate_tables, save_tables +from cat.utils import normalize, read_features, rename_ds + + +def internal_preprocessing( + ds1: Dataset, ds2: Dataset, features_file: str | None = None, normalize: bool = True +) -> tuple[Dataset, Dataset]: + """The internal preprocessing of the CAT algorithm ensures that data is in the right shape and format. + + Parameters + ---------- + ds1 : Dataset + Source dataset + ds2 : Dataset + Target dataset + features_file : str | None, optional + List of genes, i.e. GO:TERM, by default None + normalize : bool, optional + Normalize data, by default True + + Returns + ------- + tuple[Dataset, Dataset] + CAT ready datasets + """ + logging.info(f"Before {ds1.name}: {ds1.adata.shape}") + logging.info(f"Before {ds2.name}: {ds2.adata.shape}") + + genes = set(ds1.adata.var_names) & set(ds2.adata.var_names) + if features_file is not None: + features = read_features(features_file) + genes = genes & set(features) + logging.info(f"Reading list of genes from {features_file} => {len(genes)}") + genes = list(genes) + + if len(genes) == 0: + logging.error("No common genes found ...") + sys.exit(1) + elif len(genes) < MIN_N_GENES: + logging.warning(f"Only <{MIN_N_GENES} genes are common ...") + else: + ds1.adata = ds1.adata[:, genes].copy() + ds2.adata = ds2.adata[:, genes].copy() + + logging.info(f"After {ds1.name}: {ds1.adata.shape}") + logging.info(f"After {ds2.name}: {ds2.adata.shape}") + + if normalize: + from scanpy.preprocessing import normalize_total + + normalize_total(ds1.adata, target_sum=1) + normalize_total(ds2.adata, target_sum=1) + + if not np.all(ds1.adata.var_names == ds2.adata.var_names): + logging.error("Gene intersection between two datasets don't match!") + sys.exit(1) + + # Make sure the normalization is good + check_normalization = lambda x: np.all(np.abs(x.adata.X.sum(axis=1) - 1) < 0.001) + if not (check_normalization(ds1) or check_normalization(ds2)): + logging.error("Datasets are not normalized properly. Make sure you normalized data in advance.") + sys.exit(1) + + return ds1, ds2 + + +def compare( + ds1: Dataset, + ds2: Dataset, + n_iterations: int = N_ITERATIONS, + features: list[str] | None = None, + distance: str = "euclidean", +) -> DatasetDiff: + """CAT routine calculated the inter cluster distances. The order of dataset1 and dataset2 does not matter. + + Parameters + ---------- + dataset1 : Dataset + First dataset, must contain anndata, with labels for + each cluster in an obs variable "XXX". Should be normalized. + dataset2 : Dataset + Second dataset, must contain scanpy anndata, with labels for + each cluster in an obs variable "XXX". Should be normalized. + n_iterations : int, optional + Number of iterations in the bootstrap process, by default 'value' + features : list[str], optional + Subset of gene names (i.e. GO:TERM) + distance: str + Euclidean distance, by default euclidean + + + Returns + ------- + Pandas DataFrame + A table containing the distances of each cluster relative to every other cluster + """ + with warnings.catch_warnings(): + warnings.simplefilter("ignore", UserWarning) + adata = anndata.concat([ds1.adata, ds2.adata]) + adata.obs_names_make_unique() + + # SECOND - ENABLE GENE SUBSET / FEATURE SELECTION + if features: + adata = adata[:, features].copy() + + # THIRD - NORMALIZE BY MEDIAN GENE + df = pl.DataFrame(normalize(adata.X, method="median"), schema=adata.var_names.tolist()).with_columns( + pl.Series(name=CLUSTER_FIELD, values=adata.obs[CLUSTER_FIELD]) + ) + + distances = [] + partitions: dict[str, pl.DataFrame] = df.partition_by(CLUSTER_FIELD, as_dict=True, include_key=False) + cluster_names = list(sum(partitions.keys(), ())) + + for _ in track(range(n_iterations), description="Processing..."): + # FIFTH - CLUSTER AVERAGES + cluster_means = pl.concat([x.sample(fraction=1.0, with_replacement=True).mean() for x in partitions.values()]) + + # SIXTH - CALCULATE DISTANCES FOR THIS BOOTSTRAP ITERATION + distances.append(pdist(cluster_means.to_numpy(), metric=distance)) + + # SEVENTH - GATHER RESULT - MEAN and STD + dist_mean = np.array(distances).mean(axis=0) + dist_std = np.array(distances).std(axis=0) + + dist_mean_df = pl.DataFrame(squareform(dist_mean), schema=cluster_names).with_columns( + pl.Series(name=CLUSTER_FIELD, values=cluster_names) + ) + dist_std_df = pl.DataFrame(squareform(dist_std), schema=cluster_names).with_columns( + pl.Series(name=CLUSTER_FIELD, values=cluster_names) + ) + + return DatasetDiff(ds1.name, ds2.name, dist_mean_df, dist_std_df) + + +def run(args: argparse.Namespace): + """Run CAT inference + + Parameters + ---------- + args : argparse.Namespace + CLI arguments + """ + if not (args.ds1 or args.ds1_cluster or args.ds2 or args.ds2_cluster): + logging.error("Two datasets with specified cluster column are required") + sys.exit(1) + + ds1_name, ds2_name = rename_ds([args.ds1_name, args.ds2_name]) + ds1 = Dataset(name=ds1_name, filename=args.ds1) + ds1.prepare(group_by=args.ds1_cluster, gene_symbol_field=args.ds1_genes) + + ds2 = Dataset(name=ds2_name, filename=args.ds2) + ds2.prepare(group_by=args.ds2_cluster, gene_symbol_field=args.ds2_genes) + + ds1, ds2 = internal_preprocessing(ds1, ds2, features_file=args.features) + + diff = compare(ds1, ds2, n_iterations=args.n_iter, distance=args.distance) + + logging.info(f"Saving results to {args.output}") + tables = generate_tables(diff, args.sigma) + + save_tables(args, tables) diff --git a/src/cat/cli.py b/src/cat/cli.py new file mode 100644 index 0000000..c9f162e --- /dev/null +++ b/src/cat/cli.py @@ -0,0 +1,137 @@ +import argparse +import logging +import sys + +from rich_argparse import RichHelpFormatter + +from cat import N_ITERATIONS, SIGMA, __version__ +from cat.cat import run + + +def init_logger(verbose: bool): + """Initialize logger + + Parameters + ---------- + verbose : bool + Verbose mode + """ + from rich.logging import RichHandler + + logging.basicConfig( + level=logging.DEBUG if verbose else logging.INFO, + format="%(message)s", + datefmt="%d-%m-%Y %H:%M:%S", + handlers=[RichHandler()], + ) + + +def parse_args() -> argparse.Namespace: + """Parse cli arguments + + Returns + ------- + argparse.Namespace + Parsed arguments + """ + parser = argparse.ArgumentParser( + description="Cluster Alignment Tool (CAT)", + formatter_class=RichHelpFormatter, + ) + parser.add_argument( + "--ds1", + action="store", + type=str, + help="Processed dataset (h5/h5ad)", + ) + parser.add_argument( + "--ds1_name", + type=str, + help="Dataset name", + ) + parser.add_argument( + "--ds1_cluster", + type=str, + help="Column name for comparison", + ) + parser.add_argument( + "--ds1_genes", + type=str, + default=None, + help="Gene column, using `index` as default", + ) + parser.add_argument( + "--ds2", + action="store", + type=str, + help="Processed dataset (h5/h5ad)", + ) + parser.add_argument( + "--ds2_name", + type=str, + help="Dataset name", + ) + parser.add_argument( + "--ds2_cluster", + type=str, + help="Column name for comparison", + ) + parser.add_argument( + "--ds2_genes", + type=str, + default=None, + help="Gene column, using `index` as default", + ) + parser.add_argument( + "--features", + type=str, + default=None, + help="File containing list of genes on new lines", + ) + parser.add_argument( + "--output", + type=str, + default="./results", + help="Output location", + ) + parser.add_argument("--distance", type=str, default="euclidean", help="Distance measurement") + parser.add_argument("--sigma", type=float, default=SIGMA, help=f"Sigma cutoff ({SIGMA} => p-value: 0.05)") + parser.add_argument("--n_iter", type=int, default=N_ITERATIONS, help="Number of bootstraps, default 1,000") + parser.add_argument( + "--format", + type=str, + default="excel", + choices=["excel"], + help="Report output format", + ) + parser.add_argument( + "--verbose", + action="store_true", + help="Verbose mode", + ) + parser.add_argument( + "--version", + action="version", + version=f"CAT v{__version__}", + ) + + return parser.parse_args(args=None if sys.argv[1:] else ["--help"]) + + +def main(): + """Main function""" + args = parse_args() + init_logger(args.verbose) + run(args) + + # match args.command: + # case "run": + # cli_run(args) + # case "plot": + # cli_plot(args) + # case "vis": + # cli_vis(args) + + +if __name__ == "__main__": + main() diff --git a/src/cat/dataset.py b/src/cat/dataset.py new file mode 100644 index 0000000..540aeef --- /dev/null +++ b/src/cat/dataset.py @@ -0,0 +1,140 @@ +import logging +import sys +from dataclasses import dataclass +from pathlib import Path + +import anndata +import numpy as np +import polars as pl +import scipy + +from cat import CLUSTER_FIELD, DELIMITER + + +@dataclass +class Dataset: + """Class describing scRNA-seq dataset""" + + filename: str + name: str + cluster_field: str = CLUSTER_FIELD + + def __post_init__(self): + if self.name == "" or self.filename == "": + logging.error("You forgot to provide all necessary parameters!") + sys.exit(1) + + if not Path(self.filename).exists(): + logging.error(f"Provided {self.filename} doesn't exists!") + sys.exit(1) + + self.adata = anndata.read_h5ad(self.filename) + + def _fix_metadata(self, group_by: str): + """Helper function to fix metadata information and add `cluster_field` to the `obs` + + Parameters + ---------- + group_by : str + Column in `obs` + """ + if group_by == "": + logging.error("You forgot to specify `group_by` param for cluster comparisons.") + sys.exit(1) + + if group_by not in self.adata.obs.columns: + logging.error(f"Defined column {group_by} not found in the dataset.") + sys.exit(1) + + self.adata.obs[self.cluster_field] = self.name + DELIMITER + self.adata.obs[group_by].astype(str) + + def _fix_genes(self, gene_symbol_field: str): + """Set correct column from `var` to gene symbol. + + Parameters + ---------- + gene_symbol_field : str + Column in `var` + """ + if gene_symbol_field is not None and gene_symbol_field in self.adata.var_keys(): + self.adata.var.index = self.adata.var[gene_symbol_field].to_numpy() + + self.adata.var_names = self.adata.var_names.str.lower() + self.adata.var_names_make_unique() + + # check if they are really gene symbols and not Ensembl IDs + if self.adata.var_names[0].startswith("ENS"): + logging.error("`var_names` should contain gene symbols!") + sys.exit(1) + + def _filter_genes(self, gene_type: str, pattern: str): + """Filter genes based on pattern + + Parameters + ---------- + gene_type : str + Gene type name (i.e. mitochondrial genes) + pattern : str + String/Regex pattern + """ + to_filter = self.adata.var_names.str.match(pattern) + n_genes: int = np.sum(to_filter) + if n_genes > 0: + logging.info(f"Removing {n_genes} {gene_type} genes") + self.adata = self.adata[:, ~to_filter].copy() + + def _save(self, save_path: str): + """Save dataset into anndata format + + Parameters + ---------- + save_path : str + File path + """ + if not Path(save_path).exists(): + Path(save_path).mkdir(parents=True, exist_ok=True) + + filename: str = f"{save_path}/{self.name}.h5ad" + logging.info(f"Saving processed dataset into {filename}") + self.adata.write(filename) + + def prepare( + self, + group_by: str, + gene_symbol_field: str | None = None, + save_path: str = "./tmp", + ) -> None: + """Prepares dataset for CAT analysis + + Parameters + ---------- + group_by : str + Column in `obs` + gene_symbol_field : str | None, optional + Column in `var` where genes are gene symbols, by default None + save_path : str, optional + Path to safe processed dataset in anndata format, by default "./tmp" + """ + logging.info(f"Preprocessing {self.name}") + + if scipy.sparse.issparse(self.adata.X): + self.adata.X = self.adata.X.todense() + + self._fix_metadata(group_by=group_by) + self._fix_genes(gene_symbol_field=gene_symbol_field) + + self._filter_genes(gene_type="mitochondrial", pattern="mt-") + self._filter_genes(gene_type="ribosomal", pattern="rp[s,l]") + self._filter_genes(gene_type="spike", pattern="ercc-") + + # self._save(save_path=save_path) + + +@dataclass +class DatasetDiff: + """Pairwise dataset container""" + + ds1_name: str + ds2_name: str + mean: pl.DataFrame + std: pl.DataFrame diff --git a/src/cat/report.py b/src/cat/report.py new file mode 100644 index 0000000..717a0cf --- /dev/null +++ b/src/cat/report.py @@ -0,0 +1,131 @@ +import itertools +from argparse import Namespace +from pathlib import Path + +import numpy as np +import polars as pl +import scipy +from xlsxwriter import Workbook + +from cat import DELIMITER +from cat.dataset import DatasetDiff + + +def generate_tables(diff: DatasetDiff, sigma_th: float) -> dict[str, str]: + """ + Takes the raw results from the CAT routine function and turns them into nice table per cluster. + + Parameters + ---------- + diff : DatasetDiff + Contains mean and std distance matrix (N x N) + sigma_th: float + Cutoff filter + + Returns + ------- + dict[str, str] + A dictionary containing tables for each cluster. + The dataframe can be access in the following way: + + tables[dataset_name_from][dataset_name_to]["example_cluster"] + + In the example above, we get the distances from "example_cluster" in the dataset with name: "dataset_name_from", compared + to all clusters in the dataset with the name: dataset_name_to. + """ + ds_comparisons = list(itertools.product((diff.ds1_name, diff.ds2_name), repeat=2)) + dist_mean = diff.mean.to_pandas().set_index("cat_cluster") + idxs = dist_mean.columns + + tables = {name.split(DELIMITER)[0]: {} for name in idxs} + for ds1_name, ds2_name in ds_comparisons: + tables[ds1_name][ds2_name] = {} + + subset_cols = idxs[idxs.str.startswith(ds2_name)] + + for cluster in subset_cols: + # remove self-loop + subset_rows = (pl.col("cat_cluster").str.starts_with(ds1_name)) & (pl.col("cat_cluster") != cluster) + mean_per_cluster = diff.mean.filter(subset_rows).select([cluster, "cat_cluster"]) + std_per_cluster = diff.std.filter(subset_rows).select(cluster) + + tables[ds1_name][ds2_name][cluster] = ( + pl.DataFrame( + { + "dist_mean": mean_per_cluster.get_column(cluster), + "dist_std": std_per_cluster, + "cat_cluster": mean_per_cluster.get_column("cat_cluster"), + } + ) + .sort(by="dist_mean") + .with_columns(diff_to_closest=pl.col.dist_mean - pl.col.dist_mean.get(0)) + .with_columns(diff_uncertainty=np.sqrt(pl.col.dist_std**2 + pl.col.dist_std.get(0) ** 2)) + .with_columns(diff_sigma_away=pl.col.diff_to_closest / pl.col.diff_uncertainty.get(0)) + .with_columns( + diff_sigma_away_p=pl.col.diff_sigma_away.map_elements( + lambda x: scipy.stats.norm.sf(x), return_dtype=pl.Float32 + ) + ) + .with_columns(significant=pl.col.diff_sigma_away < sigma_th) + ) + + return tables + + +def to_excel(dashboard: pl.DataFrame, tables: dict[str, str], output: str, distance: str) -> None: + """Generate CAT results to Excel format + + Parameters + ---------- + dashboard : pl.DataFrame + Dataframe containing specified parameters + tables : dict[str, str] + Pairwise comparisons + output : str + Output folder + distance : str + Used distance metric + """ + for ds_from in tables: + for ds_to in tables[ds_from]: + filename = f"{output}/{ds_from}_{ds_to}_{distance}.xlsx" + + with Workbook(filename) as wb: + dashboard.write_excel(workbook=wb, worksheet="Dashboard") + for cluster in tables[ds_from][ds_to]: + sheet_name = cluster.replace(" ", "_").replace(":", ".") + tables[ds_from][ds_to][cluster].write_excel(workbook=wb, worksheet=sheet_name) + + +def save_tables(args: Namespace, tables: dict[str, str]): + """Save results into specified format + + Parameters + ---------- + args : Namespace + Cli arguments + tables : dict[str, str] + Tables from generate_tables + """ + Path(args.output).mkdir(parents=True, exist_ok=True) + + dashboard = pl.DataFrame( + { + "dataset1": [args.ds1, args.ds1_name, args.ds1_cluster, args.ds1_genes], + "dataset2": [args.ds2, args.ds2_name, args.ds2_cluster, args.ds2_genes], + "features": args.features, + "distance": args.distance, + "sigma": args.sigma, + "iterations": args.n_iter, + } + ) + + match args.format: + case "excel": + to_excel(dashboard, tables, args.output, args.distance) + case "html": + ... + case "pdf": + ... + case _: + raise ValueError(f"Output format `{args.format}` not supported!") diff --git a/src/cat/utils.py b/src/cat/utils.py new file mode 100644 index 0000000..124d2b3 --- /dev/null +++ b/src/cat/utils.py @@ -0,0 +1,104 @@ +import logging +import sys +from pathlib import Path +from typing import Literal + +import numpy as np +import polars as pl +from numpy.typing import ArrayLike + + +def get_nz_mean(mat: ArrayLike) -> np.ndarray: + """Calculate non-zero mean + + Parameters + ---------- + mat : ArrayLike + N-dimensional matrix + + Returns + ------- + np.ndarray + N-dimensional matrix + """ + return np.apply_along_axis(lambda v: np.mean(v[np.nonzero(v)]), 0, mat) + + +def get_nz_median(mat: ArrayLike) -> np.ndarray: + """Calculate non-zero median + + Parameters + ---------- + mat : ArrayLike + N-dimensional matrix + + Returns + ------- + np.ndarray + N-dimensional matrix + """ + return np.apply_along_axis(lambda v: np.median(v[np.nonzero(v)]), 0, mat) + + +def normalize(mat: ArrayLike, method: Literal["median", "mean"] = "median") -> np.ndarray: + """Normalize count matrix + + Parameters + ---------- + mat : ArrayLike + Count matrix + method : Literal["median", "mean"] + Normalization methods, by default "median" + + Returns + ------- + np.ndarray + Normalized count matrix + """ + if method == "median": + norm = get_nz_median(mat) + elif method == "mean": + norm = get_nz_mean(mat) + else: + logging.error(f"Normalization method {method} not implemented!") + sys.exit(1) + + # If entire row is 0, it is okay to divide by 1 (and not is otherwise median of 0) + norm[~np.isfinite(norm)] = 1 + return mat / norm + + +def rename_ds(names: list[str]) -> list[str]: + """Rename dataset names + + Parameters + ---------- + names : list[str] + Dataset names + + Returns + ------- + list[str] + Renamed dataset names + """ + return [name.replace("(", "").replace(")", "").replace(".", "_").replace(" ", "") for name in names] + + +def read_features(file: str) -> list[str]: + """Read feature file containing list in TSV format (tab separated). + + Parameters + ---------- + file : str + Feature file + + Returns + ------- + list[str] + List of genes + """ + if not Path(file).exists(): + logging.error(f"Provided file {file} not found!") + sys.exit(1) + + return pl.read_csv(file, has_header=False, separator="\t").get_column("column_1").to_list() diff --git a/tests/datasets/features.tsv 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