svapls is a tool for the identification of various sample-specific sources of heterogeneity of gene expression in RNA-seq datasets, producing an increasingly accurate expression pattern. The svapls algorithm uses Partial Least Squares regression statistics to obtain the hidden signals of sample-specific heterogeneity to identify phenotypes.
Protein expression; RNA-seq
Chakraborty S, Datta S, Datta S "svapls: an R package to correct for hidden factors of variability in gene expression studies." BMC Bioinformatics 2013 https://doi.org/10.1186/1471-2105-14-236
PMID: 23883280
PMCID: PMC3733742
If you find errors, please report here.
SECTIONS
TutorialsFind thousands of Bioinformatics and Life Science software tools and databases in the newly launched
Ads