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
Browse package contents
Package details |
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| Bioconductor views | BiologicalQuestion Coverage DifferentialExpression Normalization Sequencing Software WorkflowStep |
| Maintainer | |
| License | Artistic-2.0 |
| Version | 1.11.1 |
| URL | https://github.com/LieberInstitute/qsvaR |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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