An edition of Bioinformatics and biomarker discovery: "omic" data analysis for personalised medicine
(2009)
Bioinformatics and biomarker discovery
"omic" data analysis for personalised medicine
by Francisco Azuaje
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Book Details
Table of 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.
Edition Notes
Includes bibliographical references and index.
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| December 19, 2023 | Edited by ImportBot | import existing book |
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