The max-min high-order dynamic Bayesian network learning for identifying gene regulatory networks from time-series microarray data

Proceedings of the IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

Volumn , Issue , 2013, Pages 83-90

  Li, Yifeng ^a   Ngom, Alioune ^a  

^a UNIVERSITY OF WINDSOR   (Canada)

Author keywords

Dynamic Bayesian Network; Gene Regulatory Networks; High Order Relationships; Max Min Heuristic

Indexed keywords

BAYESIAN TECHNIQUES; DYNAMIC BAYESIAN NETWORKS; GENE REGULATORY NETWORKS; GENETIC REGULATORY NETWORKS; HIGH-ORDER; HIGH-ORDER DYNAMICS; MAX-MIN; POTENTIAL STRUCTURE;

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; GENE EXPRESSION; LEARNING SYSTEMS;

BIOINFORMATICS;

EID: 84885048737     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIBCB.2013.6595392     Document Type: Conference Paper

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