Bioinformatics and biomarker discovery
Subtitle: "omic" data analysis for personalised medicine
By: Francisco Azuaje.
Publisher: John Wiley & Sons
Published: 2010
Place of publication: Hoboken, NJ
Language: eng
ISBN-13: 9780470744604
Subjects: Biochemical markers; Bioinformatics; Computational Biology; Biological Markers; Genomics -- methods; Statistics as Topic
Notes: Includes bibliographical references and index.
Table of contents: title: Biomarkers and bioinformatics; title: Review of fundamental statistical concepts; title: Biomarker-based prediction models : design and interpretation principles; title: An introduction to the discovery and analysis of genotype-phenotype associations; title: Integrative approaches to genotype-phenotype association discovery / Ana Dopazo; title: Biomarkers and gene expression data analysis; title: Advances in biomarker discovery with gene expression data / Haiying Wang and Huiru Zheng; title: Proteomics and metabolomics for biomarker discovery : an introduction to spectral data analysis; title: Data integration in proteomics and metabolomics for biomarker discovery / Kenneth Bryan; title: Disease biomarkers and biological interaction networks; title: Commentary on disease biomarkers and biological interaction networks / Zhongming Zhao; title: Integrative data analysis for biomarker discovery; title: Data integration : the next big hope? / Yves Moreau; title: Information resources and software tools for biomarker discovery; title: Challenges and research directions in bioinformatics and biomarker discovery; title: Towards building knowledge-based assistants for intelligent data analysis in biomarker discovery / Riccardo Bellazzi; title: Accompanying commentary on challenges and opportunities of bioinformatics in disease biomarker discovery / Gary B. Fogel.