Chapter 6. Bayesian Methods in Genomics and Proteomics Studies

  1. Gil Alterovitz and
  2. Marco Ramoni
  1. Ning Sun and
  2. Hongyu Zhao

Published Online: 7 JUL 2010

DOI: 10.1002/9780470669716.ch6

Knowledge-Based Bioinformatics: From Analysis to Interpretation

Knowledge-Based Bioinformatics: From Analysis to Interpretation

How to Cite

Sun, N. and Zhao, H. (2010) Bayesian Methods in Genomics and Proteomics Studies, in Knowledge-Based Bioinformatics: From Analysis to Interpretation (eds G. Alterovitz and M. Ramoni), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470669716.ch6

Editor Information

  1. Harvard Medical School and Massachusetts Institute of Technology, Boston, USA

Author Information

  1. Department of Epidemiology and Public Health, Yale University, School of Medicine, USA

Publication History

  1. Published Online: 7 JUL 2010
  2. Published Print: 16 JUL 2010

ISBN Information

Print ISBN: 9780470748312

Online ISBN: 9780470669716

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Keywords:

  • text mining;
  • knowledge discovery;
  • information retrieval;
  • information extraction;
  • natural language processing;
  • term recognition;
  • literature;
  • search engine;
  • database curation;
  • semantic integration

Summary

This chapter contains sections titled:

  • Introduction

  • Bayes theorem and some simple applications

  • Inference of population structure from genetic marker data

  • Inference of protein binding motifs from sequence data

  • Inference of transcriptional regulatory networks from joint analysis of protein–DNA binding data and gene expression data

  • Inference of protein and domain interactions from yeast two-hybrid data

  • Conclusions

  • Acknowledgements

  • References