Connectivity in the yeast cell cycle transcription network: Inferences from neural networks

PLoS Computational Biology

Volumn 2, Issue 12, 2006, Pages 1592-1607

  Hart, Christopher E ^a,d   Mjolsness, Eric ^b,c   Wold, Barbara J ^a,c  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^d Science and Technology Policy Institute   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS; TRANSCRIPTION; YEAST;

'CURRENT; ARTIFICIAL NEURAL NETWORK MODELING; CELL CYCLE; COMPUTATIONAL APPROACH; GENE NETWORKS; NETWORK INFERENCE; NEURAL-NETWORKS; PROPERTY; TRANSCRIPTION NETWORKS; YEAST CELL CYCLES;

RNA;

CYCLIN DEPENDENT KINASE 1; RNA; TRANSCRIPTION FACTOR; CELL CYCLE PROTEIN; SACCHAROMYCES CEREVISIAE PROTEIN;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; CELL CYCLE; COMPUTER MODEL; FUNCTIONAL GENOMICS; GENE FREQUENCY; GENE IDENTIFICATION; GENE MUTATION; GENE STRUCTURE; GENETIC ANALYSIS; GENETIC CONSERVATION; GENETIC STABILITY; GENETIC TRANSCRIPTION; IN VIVO STUDY; MOLECULAR EVOLUTION; PROTEIN BINDING; PROTEIN DEPLETION; PROTEIN DETERMINATION; PROTEIN DNA INTERACTION; PROTEIN EXPRESSION; PROTEIN MICROARRAY; PROTEIN MOTIF; SCHIZOSACCHAROMYCES POMBE; YEAST CELL; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER SIMULATION; DNA MICROARRAY; GENE EXPRESSION PROFILING; METABOLISM; METHODOLOGY; PHYSIOLOGY; SIGNAL TRANSDUCTION;

SCHIZOSACCHAROMYCES POMBE;

ARTIFICIAL INTELLIGENCE; CELL CYCLE PROTEINS; COMPUTER SIMULATION; GENE EXPRESSION PROFILING; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; SACCHAROMYCES CEREVISIAE PROTEINS; SIGNAL TRANSDUCTION; TRANSCRIPTION FACTORS;

EID: 33846013249     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.0020169     Document Type: Article

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