A novel approach for clustering proteomics data using Bayesian fast Fourier transform

Bioinformatics

Volumn 21, Issue 10, 2005, Pages 2210-2224

  Bensmail, Halima ^a   Golek, Jennifer ^a   Moody, Michelle M ^b   Semmes, John O ^b   Haoudi, Abdelali ^b  

^a UNIVERSITY OF TENNESSEE   (United States)

^b EASTERN VIRGINIA MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PROTEOME;

ALGORITHM; ARTICLE; BAYES THEOREM; BLOOD SAMPLING; CLASSIFICATION; CLUSTER ANALYSIS; COMPUTER GRAPHICS; CONTROLLED STUDY; DATA ANALYSIS; DIAGNOSTIC ACCURACY; DISCRIMINANT ANALYSIS; EXPERIMENTATION; FOURIER TRANSFORMATION; HUMAN; HUMAN T CELL LEUKEMIA VIRUS 1; INFORMATION PROCESSING; INTERMETHOD COMPARISON; LINEAR SYSTEM; MAJOR CLINICAL STUDY; NOISE; NONHUMAN; PERFORMANCE; PRIORITY JOURNAL; PROTEOMICS; SPASTIC PARAPLEGIA; SPECTROSCOPY; SPINAL CORD DISEASE; STATISTICAL MODEL; SURFACE ENHANCED LASER DESORPTION IONIZATION TIME OF FLIGHT MASS SPECTROMETRY; T CELL LEUKEMIA; VIRUS INFECTION;

EID: 19544367642     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/bti383     Document Type: Article

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