qsvaR
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.
README
qsvaR Differential expressions analysis requires the ability to normalize complex datasets. In the case of postmortem brain tissue we are tasked with removing the effects of bench degradation. The qsvaR package combines an established method for removing the effects of degradation from RNA-seq data with easy to use functions. It is the second iteration of the qSVA framework (Jaffe et al, PNAS, 2017). The first step in the qsvaR workflow is to create an RangedSummarizedExperiment object with the…
- Repository
- github.com/lieberinstitute/qsvar
Source attribution
- GitHub — github.com/lieberinstitute/qsvar
- Bioconductor — qsvaR
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