 
  
 
   
   This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see SVAPLSseq.
Bioconductor version: 3.9
The package contains functions that are intended for extracting the signatures of latent variation in RNAseq data and using them to perform an improved differential expression analysis for a set of features (genes, transcripts) between two specified biological groups.
Author: Sutirtha Chakraborty
Maintainer: Sutirtha Chakraborty <sutirtha_sutir at yahoo.co.in>
Citation (from within R,
      enter citation("SVAPLSseq")):
To install this package, start R (version "3.6") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("SVAPLSseq")
    For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SVAPLSseq")
    
| R Script | SVAPLSseq tutorial | |
| Reference Manual | ||
| Text | NEWS | 
| biocViews | BatchEffect, GeneExpression, ImmunoOncology, Normalization, RNASeq, Software | 
| Version | 1.10.0 | 
| In Bioconductor since | BioC 3.4 (R-3.3) (3 years) | 
| License | GPL-3 | 
| Depends | R (>= 3.4) | 
| Imports | methods, stats, SummarizedExperiment, edgeR, ggplot2, limma, lmtest, parallel, pls | 
| LinkingTo | |
| Suggests | BiocStyle | 
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | 
Follow Installation instructions to use this package in your R session.
| Source Package | SVAPLSseq_1.10.0.tar.gz | 
| Windows Binary | SVAPLSseq_1.10.0.zip | 
| Mac OS X 10.11 (El Capitan) | SVAPLSseq_1.10.0.tgz | 
| Source Repository | git clone https://git.bioconductor.org/packages/SVAPLSseq | 
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/SVAPLSseq | 
| Package Short Url | https://bioconductor.org/packages/SVAPLSseq/ | 
| Package Downloads Report | Download Stats | 
 
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