Type: Package
Package: ROSeq
Title: Modeling expression ranks for noise-tolerant differential
        expression analysis of scRNA-Seq data
Version: 1.16.0
Authors@R: c(person("Krishan", "Gupta", 
    email = "krishang@iiitd.ac.in", role = c("aut","cre")),
    person("Manan", "Lalit", 
    email = "manan.lalit@gmail.com", role = c("aut")),
    person("Aditya", "Biswas", 
    email = "Adbiswa@microsoft.com", role = c("aut")),
    person("Abhik", "Ghosh", 
    email = "abhianik@gmail.com", role = c("aut")),
    person("Debarka", "Sengupta", 
    email = "debarka@gmail.com", role = c("aut")))
Description: ROSeq - A rank based approach to modeling gene expression
    with filtered and normalized read count matrix. ROSeq takes
    filtered and normalized read matrix and cell-annotation/condition
    as input and determines the differentially expressed genes between 
    the contrasting groups of single cells. One of the input parameters
    is the number of cores to be used.
URL: https://github.com/krishan57gupta/ROSeq
BugReports: https://github.com/krishan57gupta/ROSeq/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 4.0)
biocViews: GeneExpression, DifferentialExpression, SingleCell
Imports: pbmcapply, edgeR, limma
Suggests: knitr, rmarkdown, testthat, RUnit, BiocGenerics
VignetteBuilder: knitr
git_url: https://git.bioconductor.org/packages/ROSeq
git_branch: RELEASE_3_19
git_last_commit: d804d7b
git_last_commit_date: 2024-04-30
Repository: Bioconductor 3.19
Date/Publication: 2024-05-01
NeedsCompilation: no
Packaged: 2024-05-02 01:36:27 UTC; biocbuild
Author: Krishan Gupta [aut, cre],
  Manan Lalit [aut],
  Aditya Biswas [aut],
  Abhik Ghosh [aut],
  Debarka Sengupta [aut]
Maintainer: Krishan Gupta <krishang@iiitd.ac.in>
Built: R 4.4.0; ; 2024-05-02 13:25:57 UTC; windows
