Random frog: An efficient reversible jump Markov Chain Monte Carlo-like approach for variable selection with applications to gene selection and disease classification

Analytica Chimica Acta

Volumn 740, Issue , 2012, Pages 20-26

  Li, Hong Dong ^a   Xu, Qing Song ^a   Liang, Yi Zeng ^a  

^a CENTRAL SOUTH UNIVERSITY   (China)

Author keywords

Gene expression based disease classification; Markov Chain Monte Carlo; Random frog; Variable selection

Indexed keywords

DESIGN AND APPLICATION; DISEASE CLASSIFICATION; DISEASE DIAGNOSIS; GENE EXPRESSION DATASETS; GENE SELECTION; GNU GENERAL PUBLIC LICENSE; MARKOV CHAIN MONTE; MARKOV CHAIN MONTE CARLO; POSTERIOR DISTRIBUTIONS; PRIOR DISTRIBUTION; RANDOM FROG; REVERSIBLE JUMP; REVERSIBLE JUMP MARKOV CHAIN MONTE CARLO; SAMPLE SIZES; SOURCE CODES; VARIABLE SELECTION;

ALGORITHMS; COMPUTER SIMULATION; GENE EXPRESSION;

DIAGNOSIS;

ESTROGEN;

ACCURACY; ALGORITHM; ANALYTICAL ERROR; ARTICLE; COLON TUMOR; DISEASE CLASSIFICATION; GENE EXPRESSION; GENE IDENTIFICATION; NUCLEOTIDE SEQUENCE; PREDICTION; PRIORITY JOURNAL; RANDOM FROG; THEORETICAL STUDY;

ALGORITHMS; BREAST NEOPLASMS; COLON; COLONIC NEOPLASMS; DISEASE; ESTROGENS; GENE EXPRESSION PROFILING; HUMANS; MARKOV CHAINS; MONTE CARLO METHOD; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS;

ANURA;

EID: 84864300519     PISSN: 00032670     EISSN: 18734324     Source Type: Journal    
DOI: 10.1016/j.aca.2012.06.031     Document Type: Article

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