Robust selection of cancer survival signatures from high-throughput genomic data using two-fold subsampling.

Robust selection of cancer survival signatures from high-throughput genomic data using two-fold subsampling.

Identifying relevant signatures for clinical patient outcome is a fundamental task in high-throughput studies. Signatures, composed of features such as mRNAs, miRNAs, SNPs or other molecular variables, are often non-overlapping, even though they have been identified from similar experiments consider...

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Bibliographic Details
Main Authors: Sangkyun Lee, Jörg Rahnenführer, Michel Lang, Katleen De Preter, Pieter Mestdagh, Jan Koster, Rogier Versteeg, Raymond L Stallings, Luigi Varesio, Shahab Asgharzadeh, Johannes H Schulte, Kathrin Fielitz, Melanie Schwermer, Katharina Morik, Alexander Schramm
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0108818

Internet

https://doi.org/10.1371/journal.pone.0108818

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