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Bioconductor - ROSeq (development version)

ROSeq

This is the development version of ROSeq; for the stable release version, see ROSeq.

Modeling expression ranks for noise-tolerant differential expression analysis of scRNA-Seq data

Bioconductor version: Development (3.22)

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.

Author: Krishan Gupta [aut, cre], Manan Lalit [aut], Aditya Biswas [aut], Abhik Ghosh [aut], Debarka Sengupta [aut]

Maintainer: Krishan Gupta <krishang at iiitd.ac.in>

Citation (from within R, enter citation("ROSeq")): Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("ROSeq")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("ROSeq")
Details See More Package Archives

Follow Installation instructions to use this package in your R session.

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