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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Autores principales: 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
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2014
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/7a99a75d80854110a1d4c93ea3186528
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https://doaj.org/article/7a99a75d80854110a1d4c93ea3186528

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