A robust meta-classification strategy for cancer detection from MS data

Proteomics

Volumn 6, Issue 2, 2006, Pages 592-604

  Bhanot, Gyan ^a,c   Alexe, Gabriela ^a,c   Venkataraghavan, Babu ^a   Levine, Arnold J ^a,b  

^a INSTITUTE FOR ADVANCED STUDY   (United States)

^b RUTGERS CANCER INSTITUTE OF NEW JERSEY   (United States)

^c IBM RESEARCH   (United States)

Author keywords

Biomarker; Diagnosis; Meta classifier; Pattern extraction; Prostate cancer

Indexed keywords

BIOLOGICAL MARKER; PROSTATE SPECIFIC ANTIGEN; PROTEIN;

ALGORITHM; ANALYTIC METHOD; ARTIFICIAL NEURAL NETWORK; CANCER DIAGNOSIS; CONFERENCE PAPER; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; MASS SPECTROMETRY; PHENOTYPE; PRIORITY JOURNAL; PROSTATE CANCER; PROSTATE DISEASE; PROTEIN EXPRESSION; PROTEOMICS; SURFACE ENHANCED LASER DESORPTION IONIZATION TIME OF FLIGHT MASS SPECTROMETRY;

CASE-CONTROL STUDIES; DECISION SUPPORT TECHNIQUES; DIAGNOSIS, DIFFERENTIAL; HUMANS; MALE; PROGNOSIS; PROSTATE; PROSTATIC HYPERPLASIA; PROSTATIC NEOPLASMS; PROTEOMICS; REFERENCE STANDARDS; SENSITIVITY AND SPECIFICITY; SPECTROMETRY, MASS, MATRIX-ASSISTED LASER DESORPTION-IONIZATION; TUMOR MARKERS, BIOLOGICAL;

EID: 32144435790     PISSN: 16159853     EISSN: None     Source Type: Journal    
DOI: 10.1002/pmic.200500192     Document Type: Conference Paper

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