Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks

BMC Bioinformatics

Volumn 8, Issue SUPPL. 7, 2007, Pages

  Li, Peng ^a   Zhang, Chaoyang ^a   Perkins, Edward J ^b   Gong, Ping ^c   Deng, Youping ^d  

^a UNIVERSITY OF SOUTHERN MISSISSIPPI   (United States)

^b U S ARMY ENGINEER RESEARCH AND DEVELOPMENT CENTER   (United States)

^c SpecPro Inc   (United States)

^d University of Southern Mississippi   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL APPROACH; DYNAMIC BAYESIAN NETWORKS; GENE INTERACTIONS; GENE NETWORKS; GENE REGULATORY NETWORKS; INTERACTION DATABASE; PROBABILISTIC BOOLEAN NETWORKS; RECALL AND PRECISION;

COMPUTATIONAL METHODS; GENE EXPRESSION;

DATA PROCESSING;

ACCURACY; BAYES THEOREM; CONFERENCE PAPER; DROSOPHILA MELANOGASTER; GENE EXPRESSION REGULATION; GENE INTERACTION; GENE REGULATORY NETWORK; GENETIC DATABASE; INSECT GENETICS; MATHEMATICAL COMPUTING; NONHUMAN; PROBABILITY; STATISTICAL MODEL; ANIMAL; ARTICLE; BIOLOGICAL MODEL; COMPARATIVE STUDY; DNA MICROARRAY; DROSOPHILA; GENE EXPRESSION PROFILING; METABOLISM; METHODOLOGY; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL TRANSDUCTION; STATISTICAL ANALYSIS;

DROSOPHILA PROTEIN;

ANIMALS; DATA INTERPRETATION, STATISTICAL; DROSOPHILA; DROSOPHILA PROTEINS; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; LOGISTIC MODELS; MODELS, BIOLOGICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL TRANSDUCTION;

EID: 38549107133     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-8-S7-S13     Document Type: Conference Paper

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