Reverse engineering of gene regulation models from multi-condition experiments

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 112-119

  Kennedy, Noel ^a   Mizeranschi, Alexandru ^a   Thompson, Paul ^a   Zheng, Huiru ^a   Dubitzky, Werner ^a  

^a UNIVERSITY OF ULSTER   (United Kingdom)

Author keywords

Gene regulatory networks; machine learning; multi model fusion; optimization; reverse engineering

Indexed keywords

COMPUTATIONAL INTELLIGENCE METHODS; GENE REGULATORY NETWORKS; MULTI-MODEL FUSION; REGULATION MODELS; SYSTEM RESPONSE; TIME-SERIES GENE EXPRESSION DATA; UNDER-DETERMINED;

EXPERIMENTS; GENE EXPRESSION; LEARNING SYSTEMS; MODELS; NEURAL NETWORKS; OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO); REVERSE ENGINEERING;

BIOINFORMATICS;

EID: 84885128547     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIBCB.2013.6595396     Document Type: Conference Paper

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