Quantifying differential gene connectivity between disease states for objective identification of disease-relevant genes

BMC Systems Biology

Volumn 5, Issue , 2011, Pages

  Chu, Jen Hwa ^a   Lazarus, Ross ^a   Carey, Vincent J ^a   Raby, Benjamin A ^a  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ESTROGEN;

ARTICLE; BIOLOGICAL MODEL; BIOLOGY; BREAST TUMOR; FEMALE; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORK; GENETIC EPISTASIS; GENETIC TRANSCRIPTION; HUMAN; METABOLISM; METHODOLOGY; NORMAL DISTRIBUTION; PATHOLOGY; PHENOTYPE; RISK; SYSTEMS BIOLOGY; THEORETICAL MODEL;

BREAST NEOPLASMS; COMPUTATIONAL BIOLOGY; EPISTASIS, GENETIC; ESTROGENS; FEMALE; GENE EXPRESSION REGULATION; GENE EXPRESSION REGULATION, NEOPLASTIC; GENE REGULATORY NETWORKS; HUMANS; MODELS, GENETIC; MODELS, THEORETICAL; NORMAL DISTRIBUTION; ODDS RATIO; PHENOTYPE; SYSTEMS BIOLOGY; TRANSCRIPTION, GENETIC;

EID: 79957650605     PISSN: None     EISSN: 17520509     Source Type: Journal    
DOI: 10.1186/1752-0509-5-89     Document Type: Article

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