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Bioinformatics and biomarker discovery :
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Bioinformatics and biomarker discovery : "omic" data analysis for personalised medicine

Francisco Azuaje

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Contents

Biomarkers and bioinformatics
Review of fundamental statistical concepts
Biomarker-based prediction models: design and interpretation principles
An introduction to the discovery and analysis of genotype-phenotype associations
Integrative approaches to genotype-phenotype association discovery / Ana Dopazo
Biomarkers and gene expression data analysis
Advances in biomarker discovery with gene expression data / Haiying Wang and Huiru Zheng
Proteomics and metabolomics for biomarker discovery: an introduction to spectral data analysis
Data integration in proteomics and metabolomics for biomarker discovery / Kenneth Bryan
Disease biomarkers and biological interaction networks
Commentary on disease biomarkers and biological interaction networks / Zhongming Zhao
Integrative data analysis for biomarker discovery
Data integration: the next big hope? / Yves Moreau
Information resources and software tools for biomarker discovery
Challenges and research directions in bioinformatics and biomarker discovery
Towards building knowledge-based assistants for intelligent data analysis in biomarker discovery / Riccardo Bellazzi
Accompanying commentary on challenges and opportunities of bioinformatics in disease biomarker discovery / Gary B. Fogel.

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Bioinformatics and biomarker discovery : "omic" data analysis for personalised medicine by Francisco Azuaje. ISBN 9780470744604. Published by Wiley-Blackwell in 2010. Publication and catalogue information, links to buy online and reader comments.

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