Type: Package
Package: ROSeq
Title: Modeling expression ranks for noise-tolerant differential
        expression analysis of scRNA-Seq data
Version: 1.23.0
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
Repository: https://bioc.r-universe.dev
Date/Publication: 2025-10-29 14:58:57 UTC
RemoteUrl: https://github.com/bioc/ROSeq
RemoteRef: HEAD
RemoteSha: da1505dc8cb3001a07a69b54635d8b6418c919e4
NeedsCompilation: no
Packaged: 2026-02-21 08:14:49 UTC; root
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 4.6.0; ; 2026-02-21 08:16:16 UTC; windows
