LieberInstitute/qsvaR: Generate Quality Surrogate Variable Analysis for Degradation Correction

The qsvaR package contains functions for removing the effect of degration in rna-seq data from postmortem brain tissue. The package is equipped to help users generate principal components associated with degradation. The components can be used in differential expression analysis to remove the effects of degradation.

Getting started

Package details

Bioconductor views BiologicalQuestion Coverage DifferentialExpression Normalization Sequencing Software WorkflowStep
Maintainer
LicenseArtistic-2.0
Version1.9.1
URL https://github.com/LieberInstitute/qsvaR
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("LieberInstitute/qsvaR")
LieberInstitute/qsvaR documentation built on Oct. 14, 2024, 8:27 p.m.