Package: COTAN Type: Package Title: COexpression Tables ANalysis Version: 2.13.1 Authors@R: c( person("Galfrè", "Silvia Giulia",email = "silvia.galfre@di.unipi.it", role=c("aut","cre"),comment = c(ORCID = "0000-0002-2770-0344")), person("Morandin","Francesco", email = "francesco.morandin@unipr.it", role = "aut",comment = c(ORCID = "0000-0002-2022-2300")), person("Fantozzi", "Marco", email = "marco.fantozzi@gmail.com", role = "aut", comment = c(ORCID = "0000-0002-0708-5495")), person("Pietrosanto","Marco", role = "aut",comment = c(ORCID = "0000-0001-5129-6065")), person("Puttini","Daniel", role = "aut", comment = c(ORCID = "0009-0006-8401-9949")), person("Priami","Corrado", role = "aut", comment = c(ORCID = "0000-0002-3261-6235")), person("Cremisi","Federico", role = "aut",comment = c(ORCID = "0000-0003-4925-2703")), person("Helmer-Citterich","Manuela", role = "aut",comment = c(ORCID = "0000-0001-9530-7504")) ) Description: Statistical and computational method to analyze the co-expression of gene pairs at single cell level. It provides the foundation for single-cell gene interactome analysis. The basic idea is studying the zero UMI counts' distribution instead of focusing on positive counts; this is done with a generalized contingency tables framework. COTAN can effectively assess the correlated or anti-correlated expression of gene pairs. It provides a numerical index related to the correlation and an approximate p-value for the associated independence test. COTAN can also evaluate whether single genes are differentially expressed, scoring them with a newly defined global differentiation index. Moreover, this approach provides ways to plot and cluster genes according to their co-expression pattern with other genes, effectively helping the study of gene interactions and becoming a new tool to identify cell-identity marker genes. URL: https://github.com/seriph78/COTAN BugReports: https://github.com/seriph78/COTAN/issues Depends: R (>= 4.3) License: GPL-3 Encoding: UTF-8 Roxygen: list(markdown = TRUE) Imports: stats, methods, grDevices, Matrix, ggplot2, ggrepel, ggdist, ggthemes, graphics, parallel, parallelly, tibble, tidyr, dplyr, BiocSingular, parallelDist, ComplexHeatmap, BiocStyle, circlize, grid, scales, RColorBrewer, utils, rlang, Rfast, stringr, Seurat, dendextend, zeallot, conflicted, assertthat, R.utils, withr, SummarizedExperiment, SingleCellExperiment, proxy, RSpectra, GEOquery Suggests: testthat (>= 3.2.0), proto, spelling, knitr, ragg, Cairo, data.table, gsubfn, tidyverse, rmarkdown, htmlwidgets, MASS, Rtsne, plotly, cowplot, qpdf, sf, torch, S4Vectors Config/testthat/edition: 3 Language: en-US biocViews: SystemsBiology, Transcriptomics, GeneExpression, SingleCell, DifferentialExpression, Clustering, GPU VignetteBuilder: knitr LazyData: false Config/roxygen2/version: 8.0.0 Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libpng-dev libuv1-dev libxml2-dev libssl-dev perl python3 libx11-dev zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-05-20 13:05:30 UTC RemoteUrl: https://github.com/bioc/COTAN RemoteRef: HEAD RemoteSha: c968e6997af0dbcd408041c4a7c9faf24702d680 NeedsCompilation: no Packaged: 2026-06-19 07:11:28 UTC; root Author: Galfrè Silvia Giulia [aut, cre] (ORCID: ), Morandin Francesco [aut] (ORCID: ), Fantozzi Marco [aut] (ORCID: ), Pietrosanto Marco [aut] (ORCID: ), Puttini Daniel [aut] (ORCID: ), Priami Corrado [aut] (ORCID: ), Cremisi Federico [aut] (ORCID: ), Helmer-Citterich Manuela [aut] (ORCID: ) Maintainer: Galfrè Silvia Giulia