Learning subgroup-specific regulatory interactions and regulator independence with PARADIGM

Bioinformatics

Volumn 29, Issue 13, 2013, Pages

  Sedgewick, Andrew J ^a,b   Benz, Stephen C ^b   Rabizadeh, Shahrooz ^c,d   Soon Shiong, Patrick ^c,d   Vaske, Charles J ^b,e  

^a UNIVERSITY OF PITTSBURGH   (United States)

^b Five3 Genomics   (United States)

^c Chan Soon Shiong Institute for Advanced Health   (United States)

^d NantWorks LLC   (United States)

^e University of California   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ESTROGEN RECEPTOR ALPHA; ESTROGEN RECEPTOR ALPHA, HUMAN;

ALGORITHM; ARTICLE; BAYES THEOREM; BREAST TUMOR; CLUSTER ANALYSIS; FEMALE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETICS; GENOMICS; HUMAN; METABOLISM; MORTALITY; NEOPLASM; OVARY TUMOR; STATISTICAL MODEL; SURVIVAL;

ALGORITHMS; BAYES THEOREM; BREAST NEOPLASMS; CLUSTER ANALYSIS; ESTROGEN RECEPTOR ALPHA; FEMALE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; GENOMICS; HUMANS; MODELS, STATISTICAL; NEOPLASMS; OVARIAN NEOPLASMS; SURVIVAL ANALYSIS;

EID: 84879936358     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btt229     Document Type: Conference Paper

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