Bioinformatics and biomarker discovery : "omic" data analysis for personalised medicine /
Azuaje, Francisco.
Hoboken, N.J. : John Wiley & Sons,
2010.
Includes bibliographical references (p. [203]-222) and index.
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.
Biochemical markers.
Bioinformatics.