Bayesian biomarker identification based on marker-expression proteomics data

Genomics

Volumn 92, Issue 6, 2008, Pages 384-392

  Bhattacharjee, M ^a   Botting, C H ^a   Sillanpaa M J ^b  

^a UNIVERSITY OF ST ANDREWS   (United Kingdom)

^b UNIVERSITY OF HELSINKI   (Finland)

Author keywords

Association analysis; Bayesian hierarchical models; CFS; High throughput analysis; Variable selection

Indexed keywords

BIOLOGICAL MARKER;

ARTICLE; BAYES THEOREM; CHRONIC FATIGUE SYNDROME; CONTROLLED STUDY; FEMALE; GENE EXPRESSION; GENE FREQUENCY; GENETIC ASSOCIATION; GENETIC VARIABILITY; HETEROZYGOSITY; HUMAN; MALE; MONTE CARLO METHOD; NUCLEOTIDE SEQUENCE; PHENOTYPE; PRIORITY JOURNAL; PROBABILITY; PROGNOSIS; PROTEOMICS; SINGLE NUCLEOTIDE POLYMORPHISM; SURFACE ENHANCED LASER DESORPTION IONIZATION TIME OF FLIGHT MASS SPECTROMETRY;

BAYES THEOREM; BIOLOGICAL MARKERS; FATIGUE SYNDROME, CHRONIC; GENE FREQUENCY; GENETIC MARKERS; HETEROZYGOTE DETECTION; HUMANS; MARKOV CHAINS; MATHEMATICAL COMPUTING; MODELS, BIOLOGICAL; MONTE CARLO METHOD; POLYMORPHISM, SINGLE NUCLEOTIDE; PROTEOMICS; REGRESSION ANALYSIS;

EID: 55949098380     PISSN: 08887543     EISSN: 10898646     Source Type: Journal    
DOI: 10.1016/j.ygeno.2008.06.006     Document Type: Article

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