Parameterization studies of hidden Markov models representing highly divergent protein sequences.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/conf/hicss/McClureR95
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1995
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Parameterization studies of hidden Markov models representing highly divergent protein sequences.
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genetics; DNA; hidden Markov models; biology computing; parameterization studies; hidden Markov models; highly divergent protein sequences; complex genome analysis; nucleic acid; protein sequences; molecular evolutionary mechanisms; homologous sequences; distantly related proteins; HMM approaches; multiple protein sequence alignment; optimal model; highest average entropylposition model; biologically informative model; biological features; protein family; model length; training set size; biologically informative HMMs; genetics
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Parameterization studies of hidden Markov models representing highly divergent protein sequences.
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