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Semi-Supervised Methods to Predict Patient Survival from Gene Expression Data (2004)

Abstract

Procedures that utilize both gene expression data and clinical data to identify subtypes of cancer can provide more accurate prognoses.

Publication details

Download	http://dx.doi.org/10.1371%2Fjournal.pbio.0020108
Publisher	Public Library of Science
Repository	PLoS Online Repository (United States)
Keywords	Bioinformatics/Computational Biology
Type	Article
Language	en-us