A structure learning algorithm for inference of gene networks from microarray gene expression data using Bayesian networks

Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

Volumn , Issue , 2007, Pages 1280-1284

  Numata, Kazuyuki ^a   Imoto, Seiya ^a   Miyano, Satoru ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

BIOACTIVITY; BIOINFORMATICS; COMPUTATIONAL METHODS; DISTRIBUTED PARAMETER NETWORKS; EDUCATION; FUNCTIONS; GENE EXPRESSION; GENES; HEURISTIC ALGORITHMS; INFERENCE ENGINES; INTELLIGENT NETWORKS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; METROPOLITAN AREA NETWORKS; MONTE CARLO METHODS; OPTIMAL CONTROL SYSTEMS; SPEECH ANALYSIS; SPEECH RECOGNITION;

BAYESIAN NETWORK STRUCTURES; CLIMBING ALGORITHMS; DRUG TARGETS; EFFICIENT ALGORITHMS; GENE NETWORKS; K2 ALGORITHMS; MICROARRAY DATUMS; MICROARRAY GENE EXPRESSION DATUMS; MONTE CARLO SIMULATIONS; NETWORK STRUCTURES; NP-HARD PROBLEMS; OBSERVED DATUMS; STRUCTURAL LEARNINGS; STRUCTURE LEARNING ALGORITHMS; SYSTEMS BIOLOGIES;

BAYESIAN NETWORKS;

EID: 47649110051     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBE.2007.4375731     Document Type: Conference Paper

References (8)

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