ROSeq
This is thereleased version of ROSeq; for the devel version, seeROSeq.
Modeling expression ranks for noise-tolerant differential expression analysis of scRNA-Seq data
Bioconductor version: Release (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("ROSeq")):Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager")BiocManager::install("ROSeq")For older versions of R, please refer to the appropriateBioconductor 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 | 1.22.0 |
| In Bioconductor since | BioC 3.11 (R-4.0) (5.5 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
FollowInstallation instructions to use this package in your R session.
| Source Package | ROSeq_1.22.0.tar.gz |
| Windows Binary (x86_64) | ROSeq_1.22.0.zip (64-bit only) |
| macOS Binary (x86_64) | ROSeq_1.22.0.tgz |
| macOS Binary (arm64) | ROSeq_1.22.0.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 |