ROSeq

DOI: 10.18129/B9.bioc.ROSeq    

A Rank Based Approach to Modeling Gene Expression

Bioconductor version: Release (3.11)

A rank based approach to modeling gene expression with filtered and normalized read count matrix. Takes in the complete filtered and normalized read count matrix, the location of the two sub-populations and the number of cores to be used.

Author: Krishan Gupta [aut, cre], 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 "4.0") and enter:

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

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")

 

HTML R Script ROSeq
PDF   Reference Manual
Text   NEWS
Text   LICENSE

Details

biocViews DifferentialExpression, GeneExpression, Software
Version 1.0.0
In Bioconductor since BioC 3.11 (R-4.0) (< 6 months)
License GPL-3
Depends R (>= 4.0)
Imports pbmcapply, edgeR, limma
LinkingTo
Suggests knitr, rmarkdown, testthat, RUnit, BiocGenerics
SystemRequirements
Enhances
URL https://github.com/krishan57gupta/ROSeq
BugReports https://github.com/krishan57gupta/ROSeq/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package ROSeq_1.0.0.tar.gz
Windows Binary ROSeq_1.0.0.zip
macOS 10.13 (High Sierra) ROSeq_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/ROSeq
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/ROSeq
Package Short Url https://bioconductor.org/packages/ROSeq/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.11 Source Archive

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