Ensuring the statistical soundness of competitive gene set approaches: gene filtering and genome-scale coverage are essential

In this article, we focus on the analysis of competitive gene set methods for detecting the statistical significance of pathways from gene expression data. Our main result is to demonstrate that some of the most frequently used gene set methods, GSEA, GSEArot and GAGE, are severely influenced by the...

Descripción completa

Detalles Bibliográficos
Autores principales: Tripathi, Shailesh, Glazko, Galina V., Emmert-Streib, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Methods Online
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3627569/
https://www.ncbi.nlm.nih.gov/pubmed/23389952
http://dx.doi.org/10.1093/nar/gkt054

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3627569/
https://www.ncbi.nlm.nih.gov/pubmed/23389952
http://dx.doi.org/10.1093/nar/gkt054

Ejemplares similares