A unified computational model for revealing and predicting subtle subtypes of cancers

BMC Bioinformatics

Volumn 13, Issue 1, 2012, Pages

  Ren, Xianwen ^a   Wang, Yong ^b,c   Wang, Jiguang ^d   Zhang, Xiang Sun ^b,c  

^a INSTITUTE OF PATHOGEN BIOLOGY   (China)

^b CHINESE ACADEMY OF SCIENCES   (China)

^c INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^d Chinese Academy of Sciences and China National Center for Bioinformation   (China)

Author keywords

Cancer; Class discovery; Class prediction; Quadratic programming

Indexed keywords

ACUTE LEUKEMIA; BREAST CANCER; CANCER; CANCER GENE EXPRESSION; CANCER SUBTYPES; CLASS DISCOVERY; CLASS LABELS; CLASS PREDICTION; CLINICAL APPLICATION; COMMUNITY STANDARDS; COMPUTATIONAL FRAMEWORK; COMPUTATIONAL MODEL; GENE EXPRESSION DATA; GENE EXPRESSION PROFILING; NEXT-GENERATION SEQUENCING; OPTIMIZATION TOOLS; PROTEOMIC; UNIFIED FRAMEWORK;

ALGORITHMS; CONVEX OPTIMIZATION; FORECASTING; GENE EXPRESSION; QUADRATIC PROGRAMMING;

DISEASES;

ALGORITHM; ARTICLE; BIOLOGY; BREAST TUMOR; CLASSIFICATION; CLUSTER ANALYSIS; COMPUTER PROGRAM; COMPUTER SIMULATION; FEMALE; GENE EXPRESSION PROFILING; GENETICS; HUMAN; LEUKEMIA; METHODOLOGY; NEOPLASM;

ALGORITHMS; BREAST NEOPLASMS; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; FEMALE; GENE EXPRESSION PROFILING; HUMANS; LEUKEMIA; NEOPLASMS; SOFTWARE;

EID: 84862183879     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-13-70     Document Type: Article

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