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Volumn 58, Issue 2, 2001, Pages 165-174
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A bayesian method for finding regulatory segments in DNA
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Author keywords
Gibbs sampling; Hidden Markov chain; Markov chain Monte Carlo; Metropolis Hastings; Regulatory region
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Indexed keywords
BIOLOGICAL MATERIALS;
BIOSYNTHESIS;
CELLS;
CHROMOSOMES;
COMPUTER SIMULATION;
GENES;
MONTE CARLO METHODS;
PROTEINS;
GIBBS SAMPLING;
HIDDEN MARKOV CHAIN;
DNA SEQUENCES;
ARTICLE;
BAYES THEOREM;
CELL FUNCTION;
CHROMOSOME;
DNA SEQUENCE;
GENOME;
MATHEMATICAL MODEL;
NUCLEOTIDE SEQUENCE;
PROBABILITY;
PROMOTER REGION;
PROTEIN BINDING;
PROTEIN SYNTHESIS;
REGULATOR GENE;
SYSTEM ANALYSIS;
BAYES THEOREM;
COMPUTER SIMULATION;
DNA;
GENES, REGULATOR;
GENOME, HUMAN;
HUMANS;
MARKOV CHAINS;
MODELS, GENETIC;
MONTE CARLO METHOD;
SEQUENCE ANALYSIS, DNA;
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EID: 0035141755
PISSN: 00063525
EISSN: None
Source Type: Journal
DOI: 10.1002/1097-0282(200102)58:2<165::AID-BIP50>3.0.CO;2-O Document Type: Article |
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Times cited : (10)
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References (14)
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