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

ABSTRACT:

Background

Gene set enrichment (GSE) analysis is a popular framework for condensing information from gene expression profiles into a pathway or signature summary. The strengths of this approach over single gene analysis include noise and dimension reduction, as well as greater biological interpretability. As molecular profiling experiments move beyond simple case-control studies, robust and flexible GSE methodologies are needed that can model pathway activity within highly heterogeneous data sets.

Results

To address this challenge, we introduce Gene Set Variation Analysis (GSVA), a GSE method that estimates variation of pathway activity over a sample population in an unsupervised manner. We demonstrate the robustness of GSVA in a comparison with current state of the art samp

SUBMITTER: Hanzelmann S 

PROVIDER: S-EPMC3618321 | biostudies-literature | 2013 Jan

REPOSITORIES: biostudies-literature