Integrative network analysis to identify aberrant pathway networks in ovarian cancer

Pacific Symposium on Biocomputing

Volumn , Issue , 2012, Pages 31-42

  Chen, Li ^a,b   Xuan, Jianhua ^a   Gu, Jinghua ^a   Wang, Yue ^a   Zhang, Zhen ^b   Wang, Tian Li ^b   Shih, Ie Ming ^b  

^a VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

^b DEPARTMENT OF PATHOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DIAGNOSIS; DISEASES;

BIOLOGICAL MECHANISMS; CLASSIFICATION METHODS; GENE EXPRESSION DATA; GENE EXPRESSION PATTERNS; GENE EXPRESSION PROFILES; INTEGRATIVE FRAMEWORK; PREDICTION PERFORMANCE; SIGNALING PATHWAYS;

GENE EXPRESSION;

DNA; MESSENGER RNA; RNA;

ARTICLE; BIOLOGICAL MODEL; BIOLOGY; COPY NUMBER VARIATION; FEMALE; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORK; GENETICS; HUMAN; KAPLAN MEIER METHOD; OVARY TUMOR; PROBABILITY; STATISTICS; SUPPORT VECTOR MACHINE;

COMPUTATIONAL BIOLOGY; DNA COPY NUMBER VARIATIONS; DNA, NEOPLASM; FEMALE; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORKS; HUMANS; KAPLAN-MEIER ESTIMATE; MARKOV CHAINS; MODELS, GENETIC; OVARIAN NEOPLASMS; RNA, MESSENGER; RNA, NEOPLASM; SUPPORT VECTOR MACHINES;

EID: 84891456090     PISSN: 23356928     EISSN: 23356936     Source Type: Journal    
DOI: None     Document Type: Conference Paper

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