Papers: 10.1186/1471-2105-14-7

https://doi.org/10.1186/1471-2105-14-7

GSVA: gene set variation analysis for microarray and RNA-Seq data

Cited by: 6,480
Author(s): Sonja Hänzelmann, Robert Castelo, Justin Guinney
Published: almost 14 years ago

Software Mentions 6

bioconductor: affyPLM
Methods for fitting probe-level models
Papers that mentioned: 162
Very Likely Science (100)
bioconductor: GSVA
Gene Set Variation Analysis for microarray and RNA-seq data
Papers that mentioned: 893
Very Likely Science (100)
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
bioconductor: topGO
Enrichment Analysis for Gene Ontology
Papers that mentioned: 652
Very Likely Science (100)
pypi: GSVA
Python CLI and module for running the GSVA R bioconductor package with Python Pandas inputs and outputs.
Papers that mentioned: 893
Very Likely Science (100)
pypi: zscore
Performs ZScore normalization in your dataset.
Papers that mentioned: 3
Very Likely Science (65)