WebThis new matrix of GSVA enrichment scores facilitates applying standard analytical methods like functional enrichment, survival analysis, clustering, CNV-pathway analysis or cross-tissue pathway analysis, in a pathway-centric manner. Author: Robert Castelo [aut, cre], Justin Guinney [aut], Alexey Sergushichev [ctb], Pablo Sebastian Rodriguez [ctb] WebPackage ‘GSVA’ October 8, 2014 Version 1.12.0 Date 2014-02-21 Title Gene Set Variation Analysis for microarray and RNA-seq data Author Justin Guinney with contributions from Robert Castelo
oppar: Outlier profile and pathway analysis in R - Bioconductor
Webmethod=c("gsva", "ssgsea", "zscore", "plage"), kcdf=c("Gaussian", "Poisson", "none"), abs.ranking=FALSE, min.sz=1, max.sz=Inf, parallel.sz=1L, mx.diff=TRUE, … http://dk.archive.ubuntu.com/bioconductor-releases/3.9/bioc/manuals/oppar/man/oppar.pdf follow him new testament episode 12
Package ‘GSVA’ - dk.archive.ubuntu.com
Web5 feb. 2024 · --method {gsva,ssgsea,zscore,plage} Method to employ in the estimation of gene-set enrichment scores per sample. By default this is set to gsva (Hanzelmann et al, … WebGSVA Gene Set Variation Analysis for microarray and RNA-seq data Package index Search the GSVA package Vignettes README.md Gene Set Variation Analysis Functions 36 … WebBy default gsva() will try to match the identifiers in expr to the identifiers in gset.idx.list just as they are, unless the annotation argument is set. method Method to employ in the estimation of gene-set enrichment scores per sam- ple. By default this is set to gsva (Hänzelmann et al, 2013) and other options follow him podcast youtube 102