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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Detalles Bibliográficos
Autores principales: Lee, Sangkyun, Rahnenführer, Jörg, Lang, Michel, De Preter, Katleen, Mestdagh, Pieter, Koster, Jan, Versteeg, Rogier, Stallings, Raymond L., Varesio, Luigi, Asgharzadeh, Shahab, Schulte, Johannes H., Fielitz, Kathrin, Schwermer, Melanie, Morik, Katharina, Schramm, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4190101/
https://www.ncbi.nlm.nih.gov/pubmed/25295525
http://dx.doi.org/10.1371/journal.pone.0108818

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4190101/
https://www.ncbi.nlm.nih.gov/pubmed/25295525
http://dx.doi.org/10.1371/journal.pone.0108818

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