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This book provides a comprehensive introduction to computational methods for discovering and validating biomarkers using high-dimensional “omic” data. It covers statistical learning, data mining, and integrative analysis strategies used in personalized medicine, emphasizing practical approaches for analyzing genomic, transcriptomic, and proteomic datasets. The text also discusses evaluation methodologies, clinical translation challenges, and emerging trends in biomarker research.

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245: $a: Bioinformatics and Biomarker Discovery: "Omic" Data Analysis for Personalized Medicine
245: $b:
082: $a:
100: $a: Francisco Azuaje
650: $a: Bioinformatics
250: $a:
440: $v:
250: $b: Wiley-Blackwell
250: $c: 2010
020: $a: 978-0-470-74460-4
300: $a: 250