Building a Statistical Model for Predicting Cancer Genes

PLoS ONE

Volumn 7, Issue 11, 2012, Pages

  Gorlov, Ivan P ^a   Logothetis, Christopher J ^a   Fang, Shenying ^a   Gorlova, Olga Y ^a   Amos, Christopher ^b  

^a UNIVERSITY OF TEXAS MD ANDERSON CANCER CENTER   (United States)

^b DARTMOUTH MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PHOSPHATASE; PHOSPHOTRANSFERASE; PROSTATE SPECIFIC ANTIGEN; TRANSCRIPTION FACTOR;

ACETYLATION; ANGIOGENESIS; APOPTOSIS; ARTICLE; BDH1 GENE; CANCER TISSUE; CELL ADHESION; CELL DIVISION; CELL PROLIFERATION; DKK1 GENE; DLK2 GENE; ENZYME REGULATION; FSIP2 GENE; GENE EXPRESSION PROFILING; GENE FUNCTION; GENE IDENTIFICATION; GENE LOCATION; GENETIC ALGORITHM; GENETIC VARIABILITY; GLI1 GENE; IKZF4 GENE; KDM4B GENE; MGAT4B GENE; NM1 GENE; NRCAM GENE; PCDH11X GENE; PCZRN3 GENE; PLA2G16 GENE; PREDICTION; PRIMARY TUMOR; PROSTATE CANCER; RAB32 GENE; RECURRENT CANCER; SDF4 GENE; SF3A1 GENE; STATISTICAL MODEL; SUMOYLATION; TBX20 GENE; TFG GENE; TISSUE DISTRIBUTION; TP53 GENE; TUMOR GENE; UBIQUITINATION; ZNF473 GENE;

GENES, NEOPLASM; GENOME, HUMAN; GENOMICS; HUMANS; LOGISTIC MODELS; MALE; MODELS, STATISTICAL; PREDICTIVE VALUE OF TESTS; PROSTATIC NEOPLASMS;

EID: 84869238643     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0049175     Document Type: Article

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