Curation-free biomodules mechanisms in prostate cancer predict recurrent disease.

ABSTRACT:

Motivation

Gene expression-based prostate cancer gene signatures of poor prognosis are hampered by lack of gene feature reproducibility and a lack of understandability of their function. Molecular pathway-level mechanisms are intrinsically more stable and more robust than an individual gene. The Functional Analysis of Individual Microarray Expression (FAIME) we developed allows distinctive sample-level pathway measurements with utility for correlation with continuous phenotypes (e.g. survival). Further, we and others have previously demonstrated that pathway-level classifiers can be as accurate as gene-level classifiers using curated genesets that may implicitly comprise ascertainment biases (e.g. KEGG, GO). Here, we hypothesized that transformation of individual prostate cancer pa

SUBMITTER: Chen JL 

PROVIDER: S-EPMC3654873 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature