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 (3.20)
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("ROSeq")
):
Installation
To install this package, start R (version "4.4") 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")
ROSeq | HTML | R Script |
Reference Manual | ||
NEWS | Text | |
LICENSE | Text |
Details
biocViews | DifferentialExpression, GeneExpression, SingleCell, Software |
Version | 1.17.0 |
In Bioconductor since | BioC 3.11 (R-4.0) (4.5 years) |
License | GPL-3 |
Depends | R (>= 4.0) |
Imports | pbmcapply, edgeR, limma |
System Requirements | |
URL | https://github.com/krishan57gupta/ROSeq |
Bug Reports | https://github.com/krishan57gupta/ROSeq/issues |
See More
Suggests | knitr, rmarkdown, testthat, RUnit, BiocGenerics |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | ROSeq_1.17.0.tar.gz |
Windows Binary (x86_64) | ROSeq_1.17.0.zip |
macOS Binary (x86_64) | ROSeq_1.17.0.tgz |
macOS Binary (arm64) | ROSeq_1.17.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/ROSeq |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/ROSeq |
Bioc Package Browser | https://code.bioconductor.org/browse/ROSeq/ |
Package Short Url | https://bioconductor.org/packages/ROSeq/ |
Package Downloads Report | Download Stats |