Learning genetic regulatory network connectivity from time series data

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Volumn 8, Issue 1, 2011, Pages 152-165

  Barker, Nathan A ^a   Myers, Chris J ^b   Kuwahara, Hiroyuki ^c  

^a SOUTHERN UTAH UNIVERSITY   (United States)

^b UNIVERSITY OF UTAH   (United States)

^c UNIVERSITY OF TRENTO   (Italy)

Author keywords

genetic regulatory networks; graphical models.; Learning influences; time series data

Indexed keywords

BAYESIAN ANALYSIS; BAYESIAN APPROACHES; DIRECTED GRAPHS; EXPERIMENTAL DATA; FIRST BREAKS; GENETIC NETWORKS; GENETIC REGULATORY NETWORKS; GRAPHICAL MODELS.; LEARNING INFLUENCES; RUNTIMES; SYNTHETIC NETWORKS; TIME SERIES DATA; TIME STEP; YEAST CELL CYCLES;

BAYESIAN NETWORKS; DATA HANDLING; GENE EXPRESSION; GRAPHIC METHODS; TIME SERIES; VECTORS;

TIME SERIES ANALYSIS;

CITRUS MAXIMA;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BACTERIOPHAGE LAMBDA; BAYES THEOREM; BIOLOGICAL MODEL; BIOLOGY; CELL CYCLE; DNA MICROARRAY; FUNGAL GENE; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORK; GENETICS; METHODOLOGY; SACCHAROMYCES CEREVISIAE; TIME; VIRUS GENE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BACTERIOPHAGE LAMBDA; BAYES THEOREM; CELL CYCLE; COMPUTATIONAL BIOLOGY; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORKS; GENES, FUNGAL; GENES, VIRAL; MODELS, GENETIC; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; SACCHAROMYCES CEREVISIAE; TIME FACTORS;

EID: 78449268907     PISSN: 15455963     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCBB.2009.48     Document Type: Article

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