Bioinformatics methods in clinical research / edited by Rune Matthiesen. — New York : Humana Press, c2010. – (58.17/M592/v.593)

Contents

    Contents
    
    Preface
    Contributors
    1. Introduction to Omics
    2. Machine Learning: An Indispensable Tool in Bioinformatics 25
    3. SNP-PHAGE: High-throughput SNP discovery pipeline
    4. R Classes and Methods for SNP Array Data
    5. Overview on Techniques in Cluster Analysis
    6. Nonalcoholic Steatohepatitis， Animal Models， and Biomarkers: What Is New?
    7. Biomarkers in Breast Cancer
    8. Genome-Wide Proximal Promoter Analysis and Interpretation 157
    9. Proteomics Facing the Combinatorial Problem 175
    10. Methods and Algorithms for Relative Quantitative proteomics by Mass Spectrometry
    11. Feature Selection and Machine Learning with Mass Spectrometry Data 205
    12. Computational Methods for Analysis of Two-Dimensional Gels 231
    13. Mass Spectrometry in Epigenetic Research 263
    14. Computational Approaches to Metabolomics
    15. Algorithms and Methods for Correlating Experimental Results with Annotation Databases
    16. Analysis of Biological Processes and Diseases Using Text Mining Approaches
    Subject Index 383