Package: COTAN
Type: Package
Title: COexpression Tables ANalysis
Version: 1.0.0
Authors@R: c(
  person("Galfrè", "Silvia Giulia",email = "silvia.galfre@uniroma1.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("Pietrosanto","Marco", role = "aut",comment = c(ORCID = "0000-0001-5129-6065")),
  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 (>= 4.1)
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.1.1
Imports: dplyr, methods, grDevices, Matrix, ggplot2, ggrepel, stats,
        parallel, tibble, tidyr, basilisk, reticulate, ComplexHeatmap,
        circlize, grid, scales, utils, rlang, Rfast
Suggests: testthat (>= 3.0.0), spelling, knitr, data.table, R.utils,
        tidyverse, rmarkdown, htmlwidgets, MASS, factoextra, Rtsne,
        plotly, dendextend, BiocStyle, cowplot
Config/testthat/edition: 3
SystemRequirements: python
Language: en-US
biocViews: SystemsBiology, Transcriptomics, GeneExpression, SingleCell
VignetteBuilder: knitr
LazyData: false
git_url: https://git.bioconductor.org/packages/COTAN
git_branch: RELEASE_3_15
git_last_commit: b6a43f1
git_last_commit_date: 2022-04-26
Date/Publication: 2022-04-26
NeedsCompilation: no
Packaged: 2022-04-26 22:09:28 UTC; biocbuild
Author: Galfrè Silvia Giulia [aut, cre]
    (<https://orcid.org/0000-0002-2770-0344>),
  Morandin Francesco [aut] (<https://orcid.org/0000-0002-2022-2300>),
  Pietrosanto Marco [aut] (<https://orcid.org/0000-0001-5129-6065>),
  Cremisi Federico [aut] (<https://orcid.org/0000-0003-4925-2703>),
  Helmer-Citterich Manuela [aut]
    (<https://orcid.org/0000-0001-9530-7504>)
Maintainer: Galfrè Silvia Giulia <silvia.galfre@uniroma1.it>
Built: R 4.2.0; ; 2022-04-27 09:21:37 UTC; windows
