Reversible jump MCMC approach for peak identification for stroke SELDI mass spectrometry using mixture model

Bioinformatics

Volumn 24, Issue 13, 2008, Pages

  Wang, Yuan ^a,b   Zhou, Xiaobo ^a   Wang, Honghui ^c   Li, King ^a   Yao, Lixiu ^b   Wong, Stephen T C ^a  

^a WEILL CORNELL MEDICAL COLLEGE   (United States)

^b SHANGHAI JIAO TONG UNIVERSITY   (China)

^c NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER;

ACCURACY; ARTICLE; BAYES THEOREM; CEREBROVASCULAR ACCIDENT; CLINICAL ARTICLE; COMPUTER SIMULATION; CONTROLLED STUDY; DIAGNOSTIC ERROR; HUMAN; MATHEMATICAL COMPUTING; MONTE CARLO METHOD; PRIORITY JOURNAL; PROBABILITY; SENSITIVITY ANALYSIS; SIGNAL NOISE RATIO; STATISTICAL MODEL; SURFACE ENHANCED LASER DESORPTION IONIZATION TIME OF FLIGHT MASS SPECTROMETRY;

BAYESIAN NETWORKS; BIOMARKERS; DIAGNOSIS; INFERENCE ENGINES; INTELLIGENT SYSTEMS; MARKOV PROCESSES; MASS SPECTROMETRY; MIXTURES; MOLECULAR BIOLOGY; SIGNAL TO NOISE RATIO;

AUTOMATIC PEAK DETECTION; BASELINE CORRECTION; BAYESIAN APPROACHES; BAYESIAN INFERENCE; MARKOV CHAIN MONTE CARLO METHOD; PEAK IDENTIFICATION; REVERSIBLE JUMP MCMC; SELDI MASS SPECTROMETRY;

MONTE CARLO METHODS;

EID: 46249089452     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/btn143     Document Type: Article

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