Learning regulatory network models that represent regulator states and roles

Lecture Notes in Bioinformatics (Subseries of Lecture Notes in Computer Science)

Volumn 3318, Issue , 2005, Pages 52-64

  Noto, Keith ^a   Craven, Mark ^b  

^a UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

^b University of Wisconsin Madison   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ESCHERICHIA COLI; GENES; MATHEMATICAL MODELS; PROBABILISTIC LOGICS; DATA REDUCTION; MOLECULES;

BAYESIAN NETWORK MODELS; GENOMIC-SEQUENCE DATA; LEARNING REGULATORY NETWORK MODELS; TRANSCRIPTION FACTOR;

LEARNING SYSTEMS; GENES;

BAYESIAN NETWORK MODELS; GENE-EXPRESSION; GENOMIC-SEQUENCE DATA;

EID: 26444548681     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-32280-1_6     Document Type: Conference Paper

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