Predicting Phenotypic Diversity and the Underlying Quantitative Molecular Transitions

PLoS Computational Biology

Volumn 5, Issue 4, 2009, Pages

  Giurumescu, Claudiu A ^a   Sternberg, Paul W ^b   Asthagiri, Anand R ^a  

^a California Institute of Technology   (United States)

^b CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; NETWORK ARCHITECTURE; SIGNALING;

CAENORHABDITIS; COMPUTATIONAL APPROACH; ELEGANS; MOLECULAR TRANSITIONS; NETWORK-CONTROL; ORDERS OF MAGNITUDE; PHENOTYPIC DIVERSITY; QUANTITATIVE CHANGES; REGULATORY NETWORK; SIGNALING NETWORKS;

COMPLEX NETWORKS;

ARTICLE; CAENORHABDITIS ELEGANS; CALCULATION; COMPARATIVE STUDY; CONTROLLED STUDY; DEVELOPMENT; FEMALE; GENETIC VARIABILITY; GENUS; INTROSPECTION; MODEL; MOLECULAR DYNAMICS; MOLECULAR EVOLUTION; MUTANT; NONHUMAN; OUTCOME ASSESSMENT; PARAMETER; PHENOTYPE; PREDICTION; QUANTITATIVE ANALYSIS; SAMPLE; SPECIES; VALIDATION STUDY; VULVA; ANIMAL; BIOLOGICAL MODEL; CLASSIFICATION; COMPUTER SIMULATION; GENE EXPRESSION REGULATION; PHYSIOLOGY; SIGNAL TRANSDUCTION; SPECIES DIFFERENCE;

CAENORHABDITIS; CAENORHABDITIS ELEGANS;

CAENORHABDITIS ELEGANS PROTEIN;

ANIMALS; CAENORHABDITIS ELEGANS; CAENORHABDITIS ELEGANS PROTEINS; COMPUTER SIMULATION; FEMALE; GENE EXPRESSION REGULATION, DEVELOPMENTAL; MODELS, BIOLOGICAL; PHENOTYPE; SIGNAL TRANSDUCTION; SPECIES SPECIFICITY; VULVA;

EID: 66249096743     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000354     Document Type: Article

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