A differential wiring analysis of expression data correctly identifies the gene containing the causal mutation

PLoS Computational Biology

Volumn 5, Issue 5, 2009, Pages

  Hudson, Nicholas J ^a   Reverter, Antonio ^a   Dalrymple, Brian P ^a  

^a CSIRO   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CO-EXPRESSION NETWORKS; EXPRESSION ANALYSIS; EXPRESSION DATA; EXPRESSION LEVELS; MICROARRAYS DATA; MUSCLE GROWTH; MYOSTATIN; PROOF OF CONCEPT; REVERSIBLE PHOSPHORYLATION; TRANSCRIPTION FACTOR EXPRESSION;

TRANSCRIPTION;

MYOSTATIN; TRANSCRIPTION FACTOR;

ARTICLE; CONTROLLED STUDY; COW; GENE CONTROL; GENE EXPRESSION; GENE IDENTIFICATION; GENE MUTATION; GENETIC ANALYSIS; GENETIC TRANSCRIPTION; MICROARRAY ANALYSIS; MUSCLE GROWTH; NONHUMAN; PHENOTYPE; RNA TRANSLATION; ALGORITHM; ANIMAL; BIOLOGICAL MODEL; CATTLE; CLUSTER ANALYSIS; COMPUTER SIMULATION; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETICS; MALE; MISSENSE MUTATION; PHOSPHORYLATION; RNA PROCESSING;

BOVINAE;

ALGORITHMS; ANIMALS; CATTLE; CLUSTER ANALYSIS; COMPUTER SIMULATION; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; MALE; MODELS, GENETIC; MUTATION, MISSENSE; MYOSTATIN; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PHOSPHORYLATION; RNA PROCESSING, POST-TRANSCRIPTIONAL; TRANSCRIPTION FACTORS; TRANSCRIPTION, GENETIC;

EID: 67049159812     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000382     Document Type: Article

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