New cancer diagnosis modeling using boosting and projective adaptive resonance theory with improved reliable index

Biochemical Engineering Journal

Volumn 33, Issue 2, 2007, Pages 100-109

  Takahashi, Hiro ^a,b,c   Murase, Yasuyuki ^a   Kobayashi, Takeshi ^a   Honda, Hiroyuki ^a  

^a NAGOYA UNIVERSITY   (Japan)

^b National Cancer Center Research Institute ^*

^c CHUBU UNIVERSITY   (Japan)

Author keywords

Cancer diagnosis; Fuzzy classifier; Marker gene selection; Projective adaptive resonance theory; Reliability index

Indexed keywords

ALGORITHMS; BIOMARKERS; DNA; FUZZY SETS; GENETIC ENGINEERING; PATIENT TREATMENT;

CANCER DIAGNOSTIC PREDICTION; FUZZY CLASSIFIERS; GENE EXPRESSION; MARKER GENE SELECTION; PROJECTIVE ADAPTIVE RESONANCE THEORY; RELIABILITY INDEX;

ONCOLOGY;

ACUTE LEUKEMIA; ALGORITHM; ARTICLE; BOOSTED FUZZY CLASSIFIER WITH SWEEP OPERATOR; BRAIN TUMOR; CANCER DIAGNOSIS; CLINICAL TRIAL; DIAGNOSTIC ACCURACY; DISEASE MARKER; HUMAN; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; MARKER GENE; MICROARRAY ANALYSIS; NUCLEOTIDE SEQUENCE; PREDICTIVE VALIDITY; PRIORITY JOURNAL; PROGNOSIS; PROJECTIVE ADAPTIVE RESONANCE THEORY; RELIABILITY; TUMOR GENE;

EID: 33846504413     PISSN: 1369703X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.bej.2006.08.004     Document Type: Article

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