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Effect of size and heterogeneity of samples on biomarker discovery: synthetic and real data assessment.

<h4>Motivation</h4>The identification of robust lists of molecular biomarkers related to a disease is a fundamental step for early diagnosis and treatment. However, methodologies for the discovery of biomarkers using microarray data often provide results with limited overlap. These differences are i...

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Bibliografische Detailangaben
Hauptverfasser: Barbara Di Camillo, Tiziana Sanavia, Matteo Martini, Giuseppe Jurman, Francesco Sambo, Annalisa Barla, Margherita Squillario, Cesare Furlanello, Gianna Toffolo, Claudio Cobelli
Format: Artigo
Sprache:Inglês
Veröffentlicht: Public Library of Science (PLoS) 2012-01-01
Schriftenreihe:PLoS ONE
Online-Zugang:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22403633/pdf/?tool=EBI
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