An inferential framework for biological network hypothesis tests

BMC Bioinformatics

Volumn 14, Issue , 2013, Pages

  Yates, Phillip D ^a   Mukhopadhyay, Nitai D ^b  

^a PFIZER GLOBAL RESEARCH AND DEVELOPMENT   (United States)

^b VIRGINIA COMMONWEALTH UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL NETWORKS; BIOLOGICAL PATHWAYS; CORRELATION NETWORK; DIFFERENTIAL EXPRESSIONS; DISSIMILARITY MEASURES; INFERENTIAL METHODS; NETWORK INFERENCE; REGULATORY SYSTEMS;

COMPLEX NETWORKS; CYTOLOGY; GENE EXPRESSION; GENE EXPRESSION REGULATION; LEARNING ALGORITHMS;

STATISTICAL TESTS;

TRANSCRIPTOME;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; FEMALE; GENE REGULATORY NETWORK; GENETICS; HUMAN; METABOLISM; METHODOLOGY; NON INSULIN DEPENDENT DIABETES MELLITUS; OVARY TUMOR; SYSTEMS BIOLOGY;

ALGORITHMS; DIABETES MELLITUS, TYPE 2; FEMALE; GENE REGULATORY NETWORKS; HUMANS; MODELS, BIOLOGICAL; OVARIAN NEOPLASMS; SYSTEMS BIOLOGY; TRANSCRIPTOME;

EID: 84874794126     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-14-94     Document Type: Article

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