Computational protein biomarker prediction: A case study for prostate cancer

BMC Bioinformatics

Volumn 5, Issue , 2004, Pages

  Wagner, Michael ^a   Naik, Dayanand N ^b   Pothen, Alex ^c   Kasukurti, Srinivas ^c   Devineni, Raghu Ram ^c   Adam, Bao Ling ^d   Semmes, O John ^d   Wright Jr , George L ^d  

^a 705 Engineering Research Center   (United States)

^b OLD DOMINION UNIVERSITY   (United States)

^c Old Dominion University   (United States)

^d EASTERN VIRGINIA MEDICAL SCHOOL   (United States)

Author keywords

ANOVA F statistic; B W ratio; Biomarker discovery; Feature (peak) selection; Prostate cancer; SELD1 TOF mass spectrometry; Statistical discrimination methods; Support vector machine

Indexed keywords

BIO-MARKER DISCOVERY; FEATURE (PEAK) SELECTION; PROSTATE CANCERS; STATISTICAL DISCRIMINATION METHODS; TOF MASS SPECTROMETRY;

DISEASES; MASS SPECTROMETRY; SUPPORT VECTOR MACHINES;

PROTEINS;

BIOCHEMICAL MARKER; TUMOR MARKER; TUMOR PROTEIN;

ACCURACY; ARTICLE; CLASSIFICATION; CONTROLLED STUDY; DISCRIMINANT ANALYSIS; HUMAN; INTERMETHOD COMPARISON; LINEAR SYSTEM; MAJOR CLINICAL STUDY; MALE; MASS SPECTROMETRY; MATHEMATICAL COMPUTING; MEDICAL INFORMATICS; NONPARAMETRIC TEST; PREDICTION; PROSTATE CANCER; PROTEIN ANALYSIS; RANDOMIZATION; STATISTICAL ANALYSIS; SURFACE ENHANCED LASER DESORPTION IONIZATION TIME OF FLIGHT MASS SPECTROMETRY; VALIDATION PROCESS; BIOLOGY; BIOSYNTHESIS; CHEMISTRY; DIAGNOSTIC USE; GENETICS; PREDICTIVE VALUE; PROCEDURES; PROSTATIC NEOPLASMS; REPRODUCIBILITY; STATISTICS AND NUMERICAL DATA; VALIDATION STUDY;

COMPUTATIONAL BIOLOGY; HUMANS; MALE; NEOPLASM PROTEINS; PREDICTIVE VALUE OF TESTS; PROSTATIC NEOPLASMS; RANDOM ALLOCATION; REPRODUCIBILITY OF RESULTS; SPECTROMETRY, MASS, MATRIX-ASSISTED LASER DESORPTION-IONIZATION; TUMOR MARKERS, BIOLOGICAL;

EID: 2942572932     PISSN: 14712105     EISSN: None     Source Type: Journal    
DOI: 10.1186/1471-2105-5-26     Document Type: Article

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