Single-cell analysis in Python. Scales to >1M cells.
Deep probabilistic analysis of single-cell and spatial omics data
Annotated data.
Electronic Health Record Analysis with Python.
muon is a multimodal omics Python framework
Rapids_singlecell: A GPU-accelerated tool for scRNA analysis. Offers seamless scverse compatibility for efficient single-cell data processing and analysis.
Perturbation Analysis in the scverse ecosystem.
Infer copy number variation (CNV) from scRNA-seq data. Plays nicely with Scanpy.
Multimodal Data (.h5mu) implementation for Python
Notebooks used in scvi-tools tutorials
A single cell transcriptomics pipeline for QC, integration and making the data presentable
CREsted is a Python package for training sequence-based deep learning models on scATAC-seq data, for capturing enhancer code and for designing cell type-specific sequences.
Muon for Julia
Tutorials for multimodal omics data analysis
Download and Convert METASPACE datasets to common formats such as AnnData or SpatialData
Scripts/Notebooks for "Training models on atlas-scale single-cell datasets" at scverse Conference 2024
experimental interface between R and scvi-tools
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