iSubgraph: Integrative genomics for subgroup discovery in hepatocellular carcinoma using graph mining and mixture models

PLoS ONE

Volumn 8, Issue 11, 2013, Pages

  Ozdemir, Bahadir ^a,b   Abd Almageed, Wael ^c   Roessler, Stephanie ^b,d   Wang, Xin Wei ^b  

^a Institute of Advanced Computer Science   (United States)

^b NATIONAL CANCER INSTITUTE   (United States)

^c UNIVERSITY OF MARYLAND   (United States)

^d UNIVERSITY HOSPITAL HEIDELBERG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

EPIDERMAL GROWTH FACTOR RECEPTOR; LET 7; MICRORNA; MYC PROTEIN; RNA; TRANSCRIPTION FACTOR E2F1; TRANSFORMING GROWTH FACTOR BETA1; TUMOR NECROSIS FACTOR; UNCLASSIFIED DRUG;

ADULT; ALGORITHM; ARTICLE; CANCER SURVIVAL; DATA MINING; DATA PROCESSING; FEMALE; GENE EXPRESSION; GENE REGULATORY NETWORK; GENOMICS; HUMAN; KAPLAN MEIER METHOD; LIVER CELL CARCINOMA; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; NUCLEOTIDE SEQUENCE; PREDICTION; SUBGRAPH MINING;

ALGORITHMS; CARCINOMA, HEPATOCELLULAR; COMPUTER GRAPHICS; DATA MINING; FEMALE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; GENE REGULATORY NETWORKS; GENOMICS; HUMANS; KAPLAN-MEIER ESTIMATE; LIVER NEOPLASMS; MALE; MICRORNAS; MIDDLE AGED; MODELS, GENETIC; NEOPLASM PROTEINS; NEOPLASM STAGING; RNA, MESSENGER;

EID: 84892583164     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0078624     Document Type: Article

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