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Hidden Markov Models Incorporating Fuzzy Measures and Integrals for Protein Sequence Identification and Alignment
Profile hidden Markov models (HMMs) based on classical HMMs have been widely applied for protein sequence identification. The formulation of the forward and backward variables in profile HMMs is made under statistical independence assumption of the probability theory. We propose a fuzzy profile HMM...
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| I publikationen: | Genomics Proteomics Bioinformatics |
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| Huvudupphovsmän: | , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Elsevier
2008
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5054101/ https://ncbi.nlm.nih.gov/pubmed/18973866 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/S1672-0229(08)60025-X |
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