Bioinformatics Methods in Clinical Research

Editors:

ISBN: 978-1-60327-193-6 (Print) 978-1-60327-194-3 (Online)

Table of contents (16 protocols)

  1. Front Matter

    Pages i-x

  2. No Access

    Book Protocol

    Pages 1-23

    Introduction to Omics

  3. No Access

    Book Protocol

    Pages 25-48

    Machine Learning: An Indispensable Tool in Bioinformatics

  4. No Access

    Book Protocol

    Pages 49-65

    SNP-PHAGE: High-Throughput SNP Discovery Pipeline

  5. No Access

    Book Protocol

    Pages 67-79

    R Classes and Methods for SNP Array Data

  6. No Access

    Book Protocol

    Pages 81-107

    Overview on Techniques in Cluster Analysis

  7. No Access

    Book Protocol

    Pages 109-136

    Nonalcoholic Steatohepatitis, Animal Models, and Biomarkers: What Is New?

  8. No Access

    Book Protocol

    Pages 137-156

    Biomarkers in Breast Cancer

  9. No Access

    Book Protocol

    Pages 157-174

    Genome-Wide Proximal Promoter Analysis and Interpretation

  10. No Access

    Book Protocol

    Pages 175-186

    Proteomics Facing the Combinatorial Problem

  11. No Access

    Book Protocol

    Pages 187-204

    Methods and Algorithms for Relative Quantitative Proteomics by Mass Spectrometry

  12. No Access

    Book Protocol

    Pages 205-229

    Feature Selection and Machine Learning with Mass Spectrometry Data

  13. No Access

    Book Protocol

    Pages 231-262

    Computational Methods for Analysis of Two-Dimensional Gels

  14. No Access

    Book Protocol

    Pages 263-282

    Mass Spectrometry in Epigenetic Research

  15. No Access

    Book Protocol

    Pages 283-313

    Computational Approaches to Metabolomics

  16. No Access

    Book Protocol

    Pages 315-340

    Algorithms and Methods for Correlating Experimental Results with Annotation Databases

  17. No Access

    Book Protocol

    Pages 341-382

    Analysis of Biological Processes and Diseases Using Text Mining Approaches

  18. Back Matter

    Pages 383-387