Discovery of highly differentiative gene groups from microarray gene expression data using the gene club approach

Journal of Bioinformatics and Computational Biology

Volumn 3, Issue 6, 2005, Pages 1263-1280

  Mao, Shihong ^a   Dong, Guozhu ^a  

^a Wright State University   (United States)

Author keywords

Cancer; Feature set selection; Gene clubs; Gene interaction; Highly differentiative gene groups; Microarray gene expression data; Signature gene groups

Indexed keywords

COLLAGEN TYPE 2; DESMIN; INTERLEUKIN 8; MACROPHAGE MIGRATION INHIBITION FACTOR; METALLOTHIONEIN II; MYOSIN HEAVY CHAIN; MYOSIN LIGHT CHAIN; NUCLEOLIN; OSTEONECTIN; RIBOSOME PROTEIN; SIGNAL RECOGNITION PARTICLE; TRANSFERRIN RECEPTOR;

ARTICLE; BREAST CANCER; CANCER GENETICS; COLON CANCER; COMPUTER PROGRAM; CONTROLLED STUDY; DNA MICROARRAY; ENTROPY; GENE DUPLICATION; GENE EXPRESSION; GENE INTERACTION; HUMAN; HUMAN TISSUE; INFORMATION PROCESSING; LEUKEMIA; MATHEMATICAL COMPUTING; NUCLEOTIDE SEQUENCE; OVARY CANCER; PROSTATE CANCER;

ALGORITHMS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; DATABASES, GENETIC; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; MODELS, GENETIC; MODELS, STATISTICAL; NEOPLASM PROTEINS; NEOPLASMS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PROTEIN INTERACTION MAPPING; REPRODUCIBILITY OF RESULTS; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY; STATISTICS;

EID: 31044431976     PISSN: 02197200     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219720005001545     Document Type: Article

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