Gene networks viewed through two models

Satoru Miyano, Rui Yamaguchi, Yoshinori Tamada, Masao Nagasaki, Seiya Imoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents our computational and measurement strategy for investigating gene networks from gene expression data using state space model and dynamic Bayesian network model with nonparametric regression. These methods are applied to gene expression data based on gene knockdowns and drug responses for generating large global maps of gene regulation which will light up the geography where drug target pathways lie down.

Original languageEnglish
Title of host publicationBioinformatics and Computational Biology - First International Conference, BICoB 2009, Proceedings
Pages54-66
Number of pages13
DOIs
Publication statusPublished - 2009 Aug 11
Externally publishedYes
Event1st International Conference on Bioinformatics and Computational Biology, BICoB 2009 - New Orleans, LA, United States
Duration: 2009 Apr 82009 Apr 10

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5462 LNBI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st International Conference on Bioinformatics and Computational Biology, BICoB 2009
CountryUnited States
CityNew Orleans, LA
Period09/4/809/4/10

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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