Elucidation of General and Condition-Dependent Gene Pathways Using Mixture Models and Bayesian Networks

Research output: Chapter in Book/Report/Conference proceedingChapter

Original languageEnglish (US)
Title of host publicationApplied Statistics for Network Biology
Subtitle of host publicationMethods in Systems Biology
PublisherWiley-VCH
Pages91-103
Number of pages13
Volume1
ISBN (Print)9783527327508
DOIs
StatePublished - Apr 21 2011

Keywords

  • Bayesian network
  • Gene
  • Markov chain Monte Carlo
  • Mixture network
  • Network learning algorithm

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

Cite this

Rodriguez-Zas, S., & Ko, Y. (2011). Elucidation of General and Condition-Dependent Gene Pathways Using Mixture Models and Bayesian Networks. In Applied Statistics for Network Biology: Methods in Systems Biology (Vol. 1, pp. 91-103). Wiley-VCH. https://doi.org/10.1002/9783527638079.ch5