diff --git a/CHANGELOG.md b/CHANGELOG.md index ac9c33a4..bdab4971 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -15,6 +15,13 @@ - Simplify footer - Update openproblems-v2 submodule +* Updates to the way tasks are rendered (PR #296): + + - Show task motivation, if present. + - Allow multiple citations for datasets, methods, and metrics. + - Render dataset name instead of dataset id in figures and tables. + - Change the way bibliographic references are rendered. + ## BUG FIXES * Updated the `openproblems-v2` submodule (PR #295). This fixes a deprecation error due to an update in ruamel.yaml. diff --git a/_openproblems-v2 b/_openproblems-v2 index 6cdba417..45e9e434 160000 --- a/_openproblems-v2 +++ b/_openproblems-v2 @@ -1 +1 @@ -Subproject commit 6cdba41787f894aa4d1ff6f4b8d00d866fefb62e +Subproject commit 45e9e434a7c99ac8beaee17af84a37d99a7e41e2 diff --git a/bibliography/library.bib b/bibliography/library.bib index d5e34766..9c711b35 100644 --- a/bibliography/library.bib +++ b/bibliography/library.bib @@ -1,1070 +1,1618 @@ @misc{10x2018pbmc, - title = {1k PBMCs from a Healthy Donor (v3 chemistry)}, - author = {{10x Genomics}}, - year = {2018}, - url = {https://www.10xgenomics.com/resources/datasets/1-k-pbm-cs-from-a-healthy-donor-v-3-chemistry-3-standard-3-0-0}, + title = {1k PBMCs from a Healthy Donor (v3 chemistry)}, + author = {{10x Genomics}}, + year = {2018}, + url = {https://www.10xgenomics.com/resources/datasets/1-k-pbm-cs-from-a-healthy-donor-v-3-chemistry-3-standard-3-0-0} } + + @misc{10x2019pbmc, - title = {5k Peripheral Blood Mononuclear Cells (PBMCs) from a Healthy Donor with a Panel of TotalSeq-B Antibodies (v3 chemistry)}, - author = {{10x Genomics}}, - year = {2019}, - url = {https://www.10xgenomics.com/resources/datasets/5-k-peripheral-blood-mononuclear-cells-pbm-cs-from-a-healthy-donor-with-cell-surface-proteins-v-3-chemistry-3-1-standard-3-1-0}, -} + title = {5k Peripheral Blood Mononuclear Cells (PBMCs) from a Healthy Donor with a Panel of TotalSeq-B Antibodies (v3 chemistry)}, + author = {{10x Genomics}}, + year = {2019}, + url = {https://www.10xgenomics.com/resources/datasets/5-k-peripheral-blood-mononuclear-cells-pbm-cs-from-a-healthy-donor-with-cell-surface-proteins-v-3-chemistry-3-1-standard-3-1-0} +} + + +@article{agostinis2022newwave, + doi = {10.1093/bioinformatics/btac149}, + url = {https://doi.org/10.1093/bioinformatics/btac149}, + year = {2022}, + month = {Mar.}, + publisher = {Oxford University Press ({OUP})}, + volume = {38}, + number = {9}, + pages = {2648--2650}, + author = {Federico Agostinis and Chiara Romualdi and Gabriele Sales and Davide Risso}, + editor = {Yann Ponty}, + title = {NewWave: a scalable R/Bioconductor package for the dimensionality reduction and batch effect removal of single-cell {RNA}-seq data}, + journal = {Bioinformatics} +} + + @article{agrawal2021mde, - title = {Minimum-Distortion Embedding}, - author = {Akshay Agrawal and Alnur Ali and Stephen Boyd}, - year = {2021}, - journal = {Foundations and Trends{\textregistered} in Machine Learning}, - publisher = {Now Publishers}, - volume = {14}, - number = {3}, - pages = {211--378}, - doi = {10.1561/2200000090}, - url = {https://doi.org/10.1561/2200000090}, -} + title = {Minimum-Distortion Embedding}, + author = {Akshay Agrawal and Alnur Ali and Stephen Boyd}, + year = {2021}, + journal = {Foundations and Trends{\textregistered} in Machine Learning}, + publisher = {Now Publishers}, + volume = {14}, + number = {3}, + pages = {211--378}, + doi = {10.1561/2200000090}, + url = {https://doi.org/10.1561/2200000090} +} + + @article{aliee2021autogenes, - title = {{AutoGeneS}: Automatic gene selection using multi-objective optimization for {RNA}-seq deconvolution}, - author = {Hananeh Aliee and Fabian J. Theis}, - year = {2021}, - month = jul, - journal = {Cell Systems}, - publisher = {Elsevier {BV}}, - volume = {12}, - number = {7}, - pages = {706--715.e4}, - doi = {10.1016/j.cels.2021.05.006}, - url = {https://doi.org/10.1016/j.cels.2021.05.006}, -} + title = {{AutoGeneS}: Automatic gene selection using multi-objective optimization for {RNA}-seq deconvolution}, + author = {Hananeh Aliee and Fabian J. Theis}, + year = {2021}, + month = {Jul.}, + journal = {Cell Systems}, + publisher = {Elsevier {BV}}, + volume = {12}, + number = {7}, + pages = {706--715.e4}, + doi = {10.1016/j.cels.2021.05.006}, + url = {https://doi.org/10.1016/j.cels.2021.05.006} +} + + +@inproceedings{amelio2015normalized, + doi = {10.1145/2808797.2809344}, + url = {https://doi.org/10.1145/2808797.2809344}, + year = {2015}, + month = {Aug.}, + publisher = {{ACM}}, + author = {Alessia Amelio and Clara Pizzuti}, + title = {Is Normalized Mutual Information a Fair Measure for Comparing Community Detection Methods?}, + booktitle = {Proceedings of the 2015 {IEEE}/{ACM} International Conference on Advances in Social Networks Analysis and Mining 2015} +} + + @article{andersson2020single, - title = {Single-cell and spatial transcriptomics enables probabilistic inference of cell type topography}, - author = {Alma Andersson and Joseph Bergenstr{\aa}hle and Michaela Asp and Ludvig Bergenstr{\aa}hle and Aleksandra Jurek and Jos{\'{e}} Fern{\'{a}}ndez Navarro and Joakim Lundeberg}, - year = {2020}, - month = oct, - journal = {Communications Biology}, - publisher = {Springer Science and Business Media {LLC}}, - volume = {3}, - number = {1}, - doi = {10.1038/s42003-020-01247-y}, - url = {https://doi.org/10.1038/s42003-020-01247-y}, -} + title = {Single-cell and spatial transcriptomics enables probabilistic inference of cell type topography}, + author = {Alma Andersson and Joseph Bergenstr{\aa}hle and Michaela Asp and Ludvig Bergenstr{\aa}hle and Aleksandra Jurek and Jos{\'{e}} Fern{\'{a}}ndez Navarro and Joakim Lundeberg}, + year = {2020}, + month = {Oct.}, + journal = {Communications Biology}, + publisher = {Springer Science and Business Media {LLC}}, + volume = {3}, + number = {1}, + doi = {10.1038/s42003-020-01247-y}, + url = {https://doi.org/10.1038/s42003-020-01247-y} +} + + +@string{apr = {Apr.}} + + +@string{aug = {Aug.}} + + @article{batson2019molecular, - title = {Molecular Cross-Validation for Single-Cell RNA-seq}, - author = {Batson, Joshua and Royer, Lo{\"\i}c and Webber, James}, - year = {2019}, - journal = {bioRxiv}, - publisher = {Cold Spring Harbor Laboratory}, - doi = {10.1101/786269}, - url = {https://www.biorxiv.org/content/early/2019/09/30/786269}, - elocation-id = {786269}, - eprint = {https://www.biorxiv.org/content/early/2019/09/30/786269.full.pdf}, -} + title = {Molecular Cross-Validation for Single-Cell RNA-seq}, + author = {Batson, Joshua and Royer, Lo{\"\i}c and Webber, James}, + year = {2019}, + journal = {bioRxiv}, + publisher = {Cold Spring Harbor Laboratory}, + doi = {10.1101/786269}, + url = {https://www.biorxiv.org/content/early/2019/09/30/786269}, + elocation-id = {786269}, + eprint = {https://www.biorxiv.org/content/early/2019/09/30/786269.full.pdf} +} + + @article{biancalani2021deep, - title = {Deep learning and alignment of spatially resolved single-cell transcriptomes with Tangram}, - author = {Tommaso Biancalani and Gabriele Scalia and Lorenzo Buffoni and Raghav Avasthi and Ziqing Lu and Aman Sanger and Neriman Tokcan and Charles R. Vanderburg and {\AA}sa Segerstolpe and Meng Zhang and Inbal Avraham-Davidi and Sanja Vickovic and Mor Nitzan and Sai Ma and Ayshwarya Subramanian and Michal Lipinski and Jason Buenrostro and Nik Bear Brown and Duccio Fanelli and Xiaowei Zhuang and Evan Z. Macosko and Aviv Regev}, - year = {2021}, - month = oct, - journal = {Nature Methods}, - publisher = {Springer Science and Business Media {LLC}}, - volume = {18}, - number = {11}, - pages = {1352--1362}, - doi = {10.1038/s41592-021-01264-7}, - url = {https://doi.org/10.1038/s41592-021-01264-7}, -} + title = {Deep learning and alignment of spatially resolved single-cell transcriptomes with Tangram}, + author = {Tommaso Biancalani and Gabriele Scalia and Lorenzo Buffoni and Raghav Avasthi and Ziqing Lu and Aman Sanger and Neriman Tokcan and Charles R. Vanderburg and {\AA}sa Segerstolpe and Meng Zhang and Inbal Avraham-Davidi and Sanja Vickovic and Mor Nitzan and Sai Ma and Ayshwarya Subramanian and Michal Lipinski and Jason Buenrostro and Nik Bear Brown and Duccio Fanelli and Xiaowei Zhuang and Evan Z. Macosko and Aviv Regev}, + year = {2021}, + month = {Oct.}, + journal = {Nature Methods}, + publisher = {Springer Science and Business Media {LLC}}, + volume = {18}, + number = {11}, + pages = {1352--1362}, + doi = {10.1038/s41592-021-01264-7}, + url = {https://doi.org/10.1038/s41592-021-01264-7} +} + + @article{bland2000odds, - title = {Statistics Notes: The odds ratio}, - author = {J. M. Bland}, - year = {2000}, - month = may, - journal = {{BMJ}}, - publisher = {{BMJ}}, - volume = {320}, - number = {7247}, - pages = {1468--1468}, - doi = {10.1136/bmj.320.7247.1468}, - url = {https://doi.org/10.1136/bmj.320.7247.1468}, -} + title = {Statistics Notes: The odds ratio}, + author = {J. M. 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Theis}, + year = {2018}, + month = {Dec.}, + journal = {Nature Methods}, + publisher = {Springer Science and Business Media {LLC}}, + volume = {16}, + number = {1}, + pages = {43--49}, + doi = {10.1038/s41592-018-0254-1}, + url = {https://doi.org/10.1038/s41592-018-0254-1} +} + + @article{cabello2020singlecellsignalr, - title = {{SingleCellSignalR}: inference of intercellular networks from single-cell transcriptomics}, - author = {Simon Cabello-Aguilar and M{\'{e}}lissa Alame and Fabien Kon-Sun-Tack and Caroline Fau and Matthieu Lacroix and Jacques Colinge}, - year = {2020}, - month = mar, - journal = {Nucleic Acids Research}, - publisher = {Oxford University Press ({OUP})}, - volume = {48}, - number = {10}, - pages = {e55--e55}, - doi = {10.1093/nar/gkaa183}, - url = {https://doi.org/10.1093/nar/gkaa183}, -} + title = {{SingleCellSignalR}: inference of intercellular networks from single-cell transcriptomics}, + author = {Simon Cabello-Aguilar and M{\'{e}}lissa Alame and Fabien Kon-Sun-Tack and Caroline Fau and Matthieu Lacroix and Jacques Colinge}, + year = {2020}, + month = {Mar.}, + journal = {Nucleic Acids Research}, + publisher = {Oxford University Press ({OUP})}, + volume = {48}, + number = {10}, + pages = {e55--e55}, + doi = {10.1093/nar/gkaa183}, + url = {https://doi.org/10.1093/nar/gkaa183} +} + + @article{cable2021robust, - title = {Robust decomposition of cell type mixtures in spatial transcriptomics}, - author = {Dylan M. Cable and Evan Murray and Luli S. Zou and Aleksandrina Goeva and Evan Z. Macosko and Fei Chen and Rafael A. Irizarry}, - year = {2021}, - month = feb, - journal = {Nature Biotechnology}, - publisher = {Springer Science and Business Media {LLC}}, - volume = {40}, - number = {4}, - pages = {517--526}, - doi = {10.1038/s41587-021-00830-w}, - url = {https://doi.org/10.1038/s41587-021-00830-w}, -} + title = {Robust decomposition of cell type mixtures in spatial transcriptomics}, + author = {Dylan M. Cable and Evan Murray and Luli S. Zou and Aleksandrina Goeva and Evan Z. Macosko and Fei Chen and Rafael A. Irizarry}, + year = {2021}, + month = {Feb.}, + journal = {Nature Biotechnology}, + publisher = {Springer Science and Business Media {LLC}}, + volume = {40}, + number = {4}, + pages = {517--526}, + doi = {10.1038/s41587-021-00830-w}, + url = {https://doi.org/10.1038/s41587-021-00830-w} +} + + @misc{cannoodt2021viashfromscripts, - doi = {10.48550/ARXIV.2110.11494}, - url = {https://arxiv.org/abs/2110.11494}, - author = {Cannoodt, Robrecht and Cannoodt, Hendrik and Van de Kerckhove, Eric and Boschmans, Andy and De Maeyer, Dries and Verbeiren, Toni}, - keywords = {Software Engineering (cs.SE), FOS: Computer and information sciences, FOS: Computer and information sciences}, - title = {Viash: from scripts to pipelines}, - publisher = {arXiv}, - year = {2021}, - copyright = {Creative Commons Attribution Non Commercial Share Alike 4.0 International} -} + doi = {10.48550/ARXIV.2110.11494}, + url = {https://arxiv.org/abs/2110.11494}, + author = {Cannoodt, Robrecht and Cannoodt, Hendrik and Van de Kerckhove, Eric and Boschmans, Andy and De Maeyer, Dries and Verbeiren, Toni}, + keywords = {Software Engineering (cs.SE), FOS: Computer and information sciences, FOS: Computer and information sciences}, + title = {Viash: from scripts to pipelines}, + publisher = {arXiv}, + year = {2021}, + copyright = {Creative Commons Attribution Non Commercial Share Alike 4.0 International} +} + + @article{cao2018joint, - title = {Joint profiling of chromatin accessibility and gene expression in thousands of single cells}, - author = {Junyue Cao and Darren A. 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Adey and Cole Trapnell and Jay Shendure}, + year = {2018}, + month = {Sept.}, + journal = {Science}, + publisher = {American Association for the Advancement of Science ({AAAS})}, + volume = {361}, + number = {6409}, + pages = {1380--1385}, + doi = {10.1126/science.aau0730}, + url = {https://doi.org/10.1126/science.aau0730} +} + + @article{cao2020human, - title = {A human cell atlas of fetal gene expression}, - author = {Junyue Cao and Diana R. O'Day and Hannah A. Pliner and Paul D. Kingsley and Mei Deng and Riza M. Daza and Michael A. Zager and Kimberly A. Aldinger and Ronnie Blecher-Gonen and Fan Zhang and Malte Spielmann and James Palis and Dan Doherty and Frank J. Steemers and Ian A. Glass and Cole Trapnell and Jay Shendure}, - year = {2020}, - month = nov, - journal = {Science}, - publisher = {American Association for the Advancement of Science ({AAAS})}, - volume = {370}, - number = {6518}, - doi = {10.1126/science.aba7721}, - url = {https://doi.org/10.1126/science.aba7721}, -} + title = {A human cell atlas of fetal gene expression}, + author = {Junyue Cao and Diana R. O'Day and Hannah A. Pliner and Paul D. Kingsley and Mei Deng and Riza M. Daza and Michael A. Zager and Kimberly A. Aldinger and Ronnie Blecher-Gonen and Fan Zhang and Malte Spielmann and James Palis and Dan Doherty and Frank J. Steemers and Ian A. Glass and Cole Trapnell and Jay Shendure}, + year = {2020}, + month = {Nov.}, + journal = {Science}, + publisher = {American Association for the Advancement of Science ({AAAS})}, + volume = {370}, + number = {6518}, + doi = {10.1126/science.aba7721}, + url = {https://doi.org/10.1126/science.aba7721} +} + + +@article{chai2014root, + doi = {10.5194/gmdd-7-1525-2014}, + url = {https://doi.org/10.5194/gmdd-7-1525-2014}, + year = {2014}, + month = {Feb.}, + publisher = {Copernicus {GmbH}}, + author = {T. Chai and R. R. 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H. and Br\"{u}ning, Jens C.}, + year = {2022}, + month = oct, + pages = {1402–1419} +} + +@article{tian2023singlecell, + title = {Single-cell DNA methylation and 3D genome architecture in the human brain}, + volume = {382}, + ISSN = {1095-9203}, + url = {http://dx.doi.org/10.1126/science.adf5357}, + DOI = {10.1126/science.adf5357}, + number = {6667}, + journal = {Science}, + publisher = {American Association for the Advancement of Science (AAAS)}, + author = {Tian, Wei and Zhou, Jingtian and Bartlett, Anna and Zeng, Qiurui and Liu, Hanqing and Castanon, Rosa G. and Kenworthy, Mia and Altshul, Jordan and Valadon, Cynthia and Aldridge, Andrew and Nery, Joseph R. and Chen, Huaming and Xu, Jiaying and Johnson, Nicholas D. and Lucero, Jacinta and Osteen, Julia K. and Emerson, Nora and Rink, Jon and Lee, Jasper and Li, Yang E. and Siletti, Kimberly and Liem, Michelle and Claffey, Naomi and O’Connor, Carolyn and Yanny, Anna Marie and Nyhus, Julie and Dee, Nick and Casper, Tamara and Shapovalova, Nadiya and Hirschstein, Daniel and Ding, Song-Lin and Hodge, Rebecca and Levi, Boaz P. and Keene, C. Dirk and Linnarsson, Sten and Lein, Ed and Ren, Bing and Behrens, M. Margarita and Ecker, Joseph R.}, + year = {2023}, + month = oct } diff --git a/results/_generate_task_pages.py b/results/_generate_task_pages.py index eace4542..cb9db37d 100755 --- a/results/_generate_task_pages.py +++ b/results/_generate_task_pages.py @@ -19,8 +19,10 @@ title: "{task_name}" subtitle: "{task_summary}" engine: knitr -image: featured.png +image: thumbnail.svg page-layout: full +css: ../task_template.css +bibliography: ../../bibliography/library.bib --- ```{{r}} diff --git a/results/_include/_baseline_descriptions.qmd b/results/_include/_baseline_descriptions.qmd index eaa0e50a..4c710a6c 100644 --- a/results/_include/_baseline_descriptions.qmd +++ b/results/_include/_baseline_descriptions.qmd @@ -1,8 +1,8 @@ -```{r} +```{r baseline_descriptions} #| echo: false baselines <- method_info %>% filter(is_baseline) lines <- pmap_chr(baselines, function(method_name, method_summary, reference, code_url, ...) { - summ <- (method_summary %|% "Missing 'method_summary'") %>% str_replace_all("\\. *$", "") + summ <- (method_summary %|% "Missing 'method_summary'") %>% str_replace_all("\\n", " ") %>% str_replace_all("\\. *$", "") glue::glue("* **{method_name}**: {summ}.") }) knitr::asis_output(paste(lines, collapse = "\n")) diff --git a/results/_include/_dataset_descriptions.qmd b/results/_include/_dataset_descriptions.qmd index 0f5b70bd..26da13cd 100644 --- a/results/_include/_dataset_descriptions.qmd +++ b/results/_include/_dataset_descriptions.qmd @@ -1,13 +1,9 @@ -```{r} +```{r dataset_description} #| echo: false lines <- pmap_chr(dataset_info, function(dataset_name, dataset_summary, data_reference, ...) { - ref <- - if (!is.na(data_reference)) { - paste0("<sup>", cite_fun(data_reference, "html"), "</sup>") - } else { - "" - } - summ <- (dataset_summary %|% "Missing 'dataset_summary'") %>% str_replace_all("\\. *$", "") + ref <- split_cite_fun(data_reference) + if (ref != "") ref <- paste0(" ", ref) + summ <- (dataset_summary %|% "Missing 'dataset_summary'") %>% str_replace_all("\\n", " ") %>% str_replace_all("\\. *$", "") glue::glue("* **{dataset_name}**{ref}: {summ}.") }) knitr::asis_output(paste(lines, collapse = "\n")) diff --git a/results/_include/_load_data.qmd b/results/_include/_load_data.qmd index 15b2879c..50f88f20 100644 --- a/results/_include/_load_data.qmd +++ b/results/_include/_load_data.qmd @@ -10,7 +10,10 @@ library(kableExtra) # read task info task_info <- jsonlite::read_json(paste0(params$data_dir, "/task_info.json")) + +# add missing data task_info$task_description <- task_info$task_description %||% NA_character_ +task_info$task_motivation <- task_info$task_motivation %||% NA_character_ `%|%` <- function(x, y) { ifelse(is.na(x), y, x) @@ -22,43 +25,37 @@ dataset_info <- jsonlite::read_json(paste0(params$data_dir, "/dataset_info.json" results <- jsonlite::read_json(paste0(params$data_dir, "/results.json"), simplifyVector = TRUE) qc <- jsonlite::read_json(paste0(params$data_dir, "/quality_control.json"), simplifyVector = TRUE) +# add missing columns for (col in c("method_summary")) { method_info[[col]] <- method_info[[col]] %||% NA_character_ } for (col in c("metric_summary")) { metric_info[[col]] <- metric_info[[col]] %||% NA_character_ } -for (col in c("dataset_summary")) { +for (col in c("dataset_summary", "dataset_name")) { dataset_info[[col]] <- dataset_info[[col]] %||% NA_character_ } +# fill missing data +dataset_info$dataset_name <- dataset_info$dataset_name %|% dataset_info$dataset_id + num_methods <- sum(!method_info$is_baseline) num_baselines <- sum(method_info$is_baseline) num_datasets <- nrow(dataset_info) num_metrics <- nrow(metric_info) +split_cite_fun <- function(keys) { + if (is.null(keys)) return("") + + keys <- keys[!is.na(keys)] + if (length(keys) == 0) return("") -link_fun <- function(label, url, format = "markdown") { - if (format == "markdown") { - paste0("[", label, "](", url, ")") - } else { - paste0("<a href=\"", url, "\" target=\"_blank\">", label, "</a>") - } + refs <- unlist(stringr::str_split(keys, ", *")) + # inner_str <- sapply(refs, function(ref) cite_fun(ref, format = format)) + # paste0("<sup>", paste(inner_str, collapse = ", "), "</sup>") + # paste0("[", paste(inner_str, collapse = ", "), "]") + paste0("[@", paste(refs, collapse = "; @"), "]") } -cite_map <- list() -cite_fun <- function(key, format = "markdown") { - # if (is.null(options("citation_map"))) { - # options("citation_map" = list()) - # } - # cm <- options("citation_map") - if (!key %in% names(cite_map)) { - cite_map[[key]] <<- length(cite_map) + 1 - # options("citation_map" = cm) - } - num <- cite_map[[key]] - link_fun(num, paste0("/bibliography/#", key), format = format) -} - ``` diff --git a/results/_include/_method_descriptions.qmd b/results/_include/_method_descriptions.qmd index 207124b5..7dfe475e 100644 --- a/results/_include/_method_descriptions.qmd +++ b/results/_include/_method_descriptions.qmd @@ -1,25 +1,27 @@ -```{r} +```{r method_description} #| echo: false # show each method just once lines <- pmap_chr(method_info, function(method_name, method_summary, paper_reference, code_url, code_version, ...) { + links <- c() if (!is.na(code_url)) { links <- c(links, glue::glue(" [Docs]({code_url})")) } version_label <- - if (!is.na(code_version)) { + if (!is.na(code_version) && code_version != "missing-version") { glue::glue(" Software version {code_version}.") } else { "" } - ref <- - if (!is.na(paper_reference)) { - paste0("<sup>", cite_fun(paper_reference, "html"), "</sup>") + ref <- split_cite_fun(paper_reference) + if (ref != "") ref <- paste0(" ", ref) + links_label <- + if (length(links) > 0) { + glue::glue(" Links: {paste(links, collapse = ', ')}.") } else { "" } - links_label <- glue::glue(" Links: {paste(links, collapse = ', ')}.") - summ <- (method_summary %|% "Missing 'method_summary'") %>% str_replace_all("\\. *$", "") + summ <- (method_summary %|% "Missing 'method_summary'") %>% str_replace_all("\\n", " ") %>% str_replace_all("\\. *$", "") glue::glue("* **{method_name}**{ref}: {summ}.{version_label}{links_label}") }) knitr::asis_output(paste(lines, collapse = "\n")) diff --git a/results/_include/_metric_descriptions.qmd b/results/_include/_metric_descriptions.qmd index 98a5334a..3a0c9b2d 100644 --- a/results/_include/_metric_descriptions.qmd +++ b/results/_include/_metric_descriptions.qmd @@ -1,13 +1,9 @@ ```{r} #| echo: false lines <- pmap_chr(metric_info, function(metric_name, metric_summary, paper_reference, ...) { - ref <- - if (!is.na(paper_reference)) { - paste0("<sup>", cite_fun(paper_reference, "html"), "</sup>") - } else { - "" - } - summ <- (metric_summary %|% "Missing 'metric_summary'") %>% str_replace_all("\\. *$", "") + ref <- split_cite_fun(paper_reference) + if (ref != "") ref <- paste0(" ", ref) + summ <- (metric_summary %|% "Missing 'metric_summary'") %>% str_replace_all("\\n", " ") %>% str_replace_all("\\. *$", "") glue::glue("* **{metric_name}**{ref}: {summ}.") }) knitr::asis_output(paste(lines, collapse = "\n")) diff --git a/results/_include/_results_table.qmd b/results/_include/_results_table.qmd index c5fa6d22..0c3024ab 100644 --- a/results/_include/_results_table.qmd +++ b/results/_include/_results_table.qmd @@ -3,7 +3,7 @@ Results table of the scores per method, dataset and metric (after scaling). Use ```{r resultstable} #| echo: false res_tib0 <- results %>% - unnest(scaled_scores) %>% + unnest(metric_values) %>% unnest(resources) %>% left_join(method_info %>% select(-commit_sha, -code_version, -task_id), by = "method_id") %>% filter(!is_baseline) %>% @@ -14,7 +14,7 @@ mean_na_zero <- function(x) { } res_tib1 <- res_tib0 %>% - group_by(method_id, method_name, paper_reference, code_url, code_version) %>% + group_by(method_id, method_name, paper_reference, code_url) %>% summarise_if(is.numeric, mean_na_zero) %>% ungroup() %>% mutate( @@ -27,16 +27,12 @@ res_tib <- res_tib1 %>% arrange(desc(mean_score)) %>% rowwise() %>% mutate( - method_label = ifelse(is.na(paper_reference), method_name, glue::glue("{method_name} <sup>{cite_fun(paper_reference, format = 'html')}</sup>")), - dataset_label = ifelse(is.na(data_reference), dataset_name, glue::glue("{dataset_name} <sup>{cite_fun(data_reference, format = 'html')}</sup>")), - # method_label = method_name, - # dataset_label = dataset_name, peak_memory_gb = peak_memory_mb / 1024 ) %>% ungroup() %>% select( - method_label, - dataset_label, + method_name, + dataset_name, mean_score, any_of(metric_info$metric_id), duration_sec, diff --git a/results/_include/_summary_figure.qmd b/results/_include/_summary_figure.qmd index 34cf4a14..845117fb 100644 --- a/results/_include/_summary_figure.qmd +++ b/results/_include/_summary_figure.qmd @@ -95,10 +95,12 @@ palettes <- list( # column_info = column_info %>% filter(id %in% colnames(summary_all)), # column_groups = column_groups, # palettes = palettes, -# # determine xmax expand heuristically -# expand = c(xmax = max(str_length(tail(column_info$name, 4))) / 5), -# # determine offset heuristically -# col_annot_offset = max(str_length(column_info$name)) / 5, +# position_args = position_arguments( +# # determine xmax expand heuristically +# expand_xmax = max(str_length(tail(column_info$name, 4))) / 5, +# # determine offset heuristically +# col_annot_offset = max(str_length(column_info$name)) / 5 +# ), # add_abc = FALSE, # scale_column = FALSE # ) diff --git a/results/_include/_task_template.qmd b/results/_include/_task_template.qmd index 7dd417e8..f8cad901 100644 --- a/results/_include/_task_template.qmd +++ b/results/_include/_task_template.qmd @@ -5,8 +5,17 @@ `r num_methods` methods • `r num_metrics` metrics • `r num_datasets` datasets ::: -## Description -`r task_info$task_description %|% "Missing 'task_description'"` +Data: +<a href="data/task_info.json" class="btn btn-secondary">Task info</a> +<a href="data/method_info.json" class="btn btn-secondary">Method info</a> +<a href="data/metric_info.json" class="btn btn-secondary">Metric info</a> +<a href="data/dataset_info.json" class="btn btn-secondary">Dataset info</a> +<a href="data/results.json" class="btn btn-secondary">Results</a> +<a href="data/quality_control.json" class="btn btn-secondary">Quality control</a> + +`r task_info$task_motivation %|% ""` + +`r task_info$task_description %|% ""` ## Summary @@ -40,19 +49,6 @@ </details> - -<details><summary>Download raw data</summary> - -<a href="data/task_info.json" class="btn btn-secondary">Task info</a> -<a href="data/method_info.json" class="btn btn-secondary">Method info</a> -<a href="data/metric_info.json" class="btn btn-secondary">Metric info</a> -<a href="data/dataset_info.json" class="btn btn-secondary">Dataset info</a> -<a href="data/results.json" class="btn btn-secondary">Results</a> -<a href="data/quality_control.json" class="btn btn-secondary">Quality control</a> - -</details> - - <details><summary>Quality control results</summary> {{< include ../_include/_qc_table.qmd >}} diff --git a/results/batch_integration_embed/index.qmd b/results/batch_integration_embed/index.qmd index bea99567..351e3571 100644 --- a/results/batch_integration_embed/index.qmd +++ b/results/batch_integration_embed/index.qmd @@ -5,6 +5,7 @@ engine: knitr image: thumbnail.svg page-layout: full css: ../task_template.css +bibliography: ../../bibliography/library.bib --- ```{r} diff --git a/results/batch_integration_feature/index.qmd b/results/batch_integration_feature/index.qmd index 4887b63a..4ce15598 100644 --- a/results/batch_integration_feature/index.qmd +++ b/results/batch_integration_feature/index.qmd @@ -5,6 +5,7 @@ engine: knitr image: thumbnail.svg page-layout: full css: ../task_template.css +bibliography: ../../bibliography/library.bib --- ```{r} diff --git a/results/batch_integration_graph/index.qmd b/results/batch_integration_graph/index.qmd index c49968d9..7fa6a9e7 100644 --- a/results/batch_integration_graph/index.qmd +++ b/results/batch_integration_graph/index.qmd @@ -5,6 +5,7 @@ engine: knitr image: thumbnail.svg page-layout: full css: ../task_template.css +bibliography: ../../bibliography/library.bib --- ```{r} diff --git a/results/cell_cell_communication_ligand_target/index.qmd b/results/cell_cell_communication_ligand_target/index.qmd index 2f5f56d0..d0f6c93c 100644 --- a/results/cell_cell_communication_ligand_target/index.qmd +++ b/results/cell_cell_communication_ligand_target/index.qmd @@ -5,6 +5,7 @@ engine: knitr image: thumbnail.svg page-layout: full css: ../task_template.css +bibliography: ../../bibliography/library.bib --- ```{r} diff --git a/results/cell_cell_communication_source_target/index.qmd b/results/cell_cell_communication_source_target/index.qmd index 9c2c897f..c21d4db1 100644 --- a/results/cell_cell_communication_source_target/index.qmd +++ b/results/cell_cell_communication_source_target/index.qmd @@ -5,6 +5,7 @@ engine: knitr image: thumbnail.svg page-layout: full css: ../task_template.css +bibliography: ../../bibliography/library.bib --- ```{r} diff --git a/results/denoising/index.qmd b/results/denoising/index.qmd index 3258fdda..e78f25f2 100644 --- a/results/denoising/index.qmd +++ b/results/denoising/index.qmd @@ -5,6 +5,7 @@ engine: knitr image: thumbnail.svg page-layout: full css: ../task_template.css +bibliography: ../../bibliography/library.bib --- ```{r} diff --git a/results/dimensionality_reduction/index.qmd b/results/dimensionality_reduction/index.qmd index ac7264f1..0f37be63 100644 --- a/results/dimensionality_reduction/index.qmd +++ b/results/dimensionality_reduction/index.qmd @@ -5,6 +5,7 @@ engine: knitr image: thumbnail.svg page-layout: full css: ../task_template.css +bibliography: ../../bibliography/library.bib --- ```{r} diff --git a/results/label_projection/index.qmd b/results/label_projection/index.qmd index 2abca097..d30f4b31 100644 --- a/results/label_projection/index.qmd +++ b/results/label_projection/index.qmd @@ -5,6 +5,7 @@ engine: knitr image: thumbnail.svg page-layout: full css: ../task_template.css +bibliography: ../../bibliography/library.bib --- ```{r} diff --git a/results/matching_modalities/index.qmd b/results/matching_modalities/index.qmd index 08e4e8d6..b38801d1 100644 --- a/results/matching_modalities/index.qmd +++ b/results/matching_modalities/index.qmd @@ -1,10 +1,11 @@ --- -title: "Matching modalities" +title: "Multimodal Data Integration" subtitle: "Alignment of cellular profiles from two different modalities" engine: knitr image: thumbnail.svg page-layout: full css: ../task_template.css +bibliography: ../../bibliography/library.bib --- ```{r} diff --git a/results/multimodal_data_integration/data/results.json b/results/multimodal_data_integration/data/results.json deleted file mode 100644 index 20ec2b2d..00000000 --- a/results/multimodal_data_integration/data/results.json +++ /dev/null @@ -1,506 +0,0 @@ -[ - { - "task_id": "multimodal_data_integration", - "commit_sha": "a49ae996dc5f34402b1fa5cab9b3a3936126a413", - "method_id": "true_features", - "dataset_id": "citeseq_cbmc", - "submission_time": "2022-12-14 10:26:05.094", - "code_version": "0.6.0", - "resources": { - "duration_sec": 280.0, - "cpu_pct": 144.8, - "peak_memory_mb": 581.2, - "disk_read_mb": 232.9, - "disk_write_mb": 277.4 - }, - "metric_values": { - "knn_auc": 0.5446604149777994, - "mse": 0.0 - }, - "scaled_scores": { - "knn_auc": 1.0, - "mse": 1.0 - }, - "mean_score": 1.0 - }, - { - "task_id": "multimodal_data_integration", - "commit_sha": "a49ae996dc5f34402b1fa5cab9b3a3936126a413", - "method_id": "procrustes", - "dataset_id": "citeseq_cbmc", - "submission_time": "2022-12-14 10:26:05.062", - "code_version": "1.9.3", - "resources": { - "duration_sec": 291.0, - "cpu_pct": 132.8, - "peak_memory_mb": 580.2, - "disk_read_mb": 232.9, - "disk_write_mb": 278.6 - }, - "metric_values": { - "knn_auc": 0.202456607136907, - "mse": 0.5721031343678257 - }, - "scaled_scores": { - "knn_auc": 0.3081717049068007, - "mse": 0.4265716152922763 - }, - "mean_score": 0.3673716600995385 - }, - { - "task_id": "multimodal_data_integration", - "commit_sha": "a49ae996dc5f34402b1fa5cab9b3a3936126a413", - "method_id": "random_features", - "dataset_id": "citeseq_cbmc", - "submission_time": "2022-12-14 10:26:05.165", - "code_version": "0.6.0", - "resources": { - "duration_sec": 321.0, - "cpu_pct": 81.0, - "peak_memory_mb": 580.2, - "disk_read_mb": 232.9, - "disk_write_mb": 277.4 - }, - "metric_values": { - "knn_auc": 0.05002350829448345, - "mse": 0.9976889 - }, - "scaled_scores": { - "knn_auc": 0.0, - "mse": 0.0 - }, - "mean_score": 0.0 - }, - { - "task_id": "multimodal_data_integration", - "commit_sha": "a49ae996dc5f34402b1fa5cab9b3a3936126a413", - "method_id": "mnn_log_cpm", - "dataset_id": "citeseq_cbmc", - "submission_time": "2022-12-14 10:26:04.984", - "code_version": "1.12.3", - "resources": { - "duration_sec": 540.0, - "cpu_pct": 43.5, - "peak_memory_mb": 2000.0, - "disk_read_mb": 276.6, - "disk_write_mb": 369.5 - }, - "metric_values": { - "knn_auc": 0.056963681971617865, - "mse": 0.8873942719615318 - }, - "scaled_scores": { - "knn_auc": 0.014030844814371599, - "mse": 0.11055012042177503 - }, - "mean_score": 0.062290482618073316 - }, - { - "task_id": "multimodal_data_integration", - "commit_sha": "a49ae996dc5f34402b1fa5cab9b3a3936126a413", - "method_id": "mnn_log_scran_pooling", - "dataset_id": "citeseq_cbmc", - "submission_time": "2022-12-14 10:26:04.921", - "code_version": "1.12.3", - "resources": { - "duration_sec": 830.0, - "cpu_pct": 77.7, - "peak_memory_mb": 4300.0, - "disk_read_mb": 279.4, - "disk_write_mb": 369.6 - }, - "metric_values": { - "knn_auc": 0.043650253881415725, - "mse": 1.013315474905537 - }, - "scaled_scores": { - "knn_auc": -0.012884712658831402, - "mse": -0.015662773140542097 - }, - "mean_score": -0.01427374289968675 - }, - { - "task_id": "multimodal_data_integration", - "commit_sha": "a49ae996dc5f34402b1fa5cab9b3a3936126a413", - "method_id": "harmonic_alignment_sqrt_cpm", - "dataset_id": "citeseq_cbmc", - "submission_time": "2022-12-14 10:26:04.848", - "code_version": "0.0", - "resources": { - "duration_sec": 890.0, - "cpu_pct": 903.9, - "peak_memory_mb": 627.9, - "disk_read_mb": 232.2, - "disk_write_mb": 290.1 - }, - "metric_values": { - "knn_auc": 0.04945913147626341, - "mse": 1.0000115280311805 - }, - "scaled_scores": { - "knn_auc": -0.0011409921309842325, - "mse": -0.002328008291142103 - }, - "mean_score": -0.0017345002110631677 - }, - { - "task_id": "multimodal_data_integration", - "commit_sha": "a49ae996dc5f34402b1fa5cab9b3a3936126a413", - "method_id": "harmonic_alignment_log_scran_pooling", - "dataset_id": "citeseq_cbmc", - "submission_time": "2022-12-14 10:26:05.049", - "code_version": "0.0", - "resources": { - "duration_sec": 2046.0, - "cpu_pct": 395.0, - "peak_memory_mb": 4300.0, - "disk_read_mb": 277.7, - "disk_write_mb": 379.9 - }, - "metric_values": { - "knn_auc": 0.05574718020236938, - "mse": 0.9999608700684679 - 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