GSVA: gene set variation analysis for microarray and RNA-Seq data
Hänzelmann S, Castelo R, Guinney J. · 2013
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Description
Hänzelmann, Castelo, and Guinney present GSVA, a method for gene set variation analysis of microarray and RNA-Seq data. Gene set analysis condenses expression profiles into summaries of pathways or signatures. Compared with single-gene analysis, it reduces noise and the sheer number of results, and adds biological interpretability.
GSVA estimates how much each pathway varies in each individual sample, rather than only comparing groups. Sample-level scores let researchers tie pathway activity to clinical traits directly. The method is widely used in cancer studies to characterise tumours one patient at a time.
Catalog record
| CREATOR | Hänzelmann S, Castelo R, Guinney J. |
|---|---|
| YEAR | 2013 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 49 KB |
| LICENSE | Creative Commons Attribution License |
| RIGHTS | CC BY |
| SOURCE | PubMed Central |