Developing a discrimination rule between breast cancer patients and controls using proteomics mass spectrometric data: A three-step approach

Statistical Applications in Genetics and Molecular Biology

Volumn 7, Issue 2, 2008, Pages

  Heidema, A Geert ^a,b,c   Nagelkerke, Nico ^d  

^a MAASTRICHT UNIVERSITY   (Netherlands)

^b NATIONAL INSTITUTE FOR PUBLIC HEALTH AND THE ENVIRONMENT   (Netherlands)

^c WAGENINGEN UNIVERSITY   (Netherlands)

^d UNITED ARAB EMIRATES UNIVERSITY   (United Arab Emirates)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; BREAST CANCER; CANCER PATIENT; CLASSIFICATION; DISCRIMINANT ANALYSIS; HUMAN; LOGISTIC REGRESSION ANALYSIS; MASS SPECTROMETRY; PROTEOMICS; SENSITIVITY AND SPECIFICITY; BLOOD; BREAST TUMOR; CASE CONTROL STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER PROGRAM; FEMALE; PROTEIN DATABASE; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICS;

TUMOR PROTEIN;

BREAST NEOPLASMS; CASE-CONTROL STUDIES; DATA INTERPRETATION, STATISTICAL; DATABASES, PROTEIN; DIAGNOSIS, COMPUTER-ASSISTED; DISCRIMINANT ANALYSIS; FEMALE; HUMANS; LOGISTIC MODELS; NEOPLASM PROTEINS; PROTEOMICS; SOFTWARE; SPECTROMETRY, MASS, MATRIX-ASSISTED LASER DESORPTION-IONIZATION;

EID: 41649098924     PISSN: None     EISSN: 15446115     Source Type: Journal    
DOI: 10.2202/1544-6115.1341     Document Type: Article

References (12)