Hidden Markov models incorporating fuzzy measures and integrals for protein sequence identification and alignment.
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ABSTRACT:
SUBMITTER: Bidargaddi NP
PROVIDER: S-EPMC5054101 | biostudies-literature | 2008 Jun
REPOSITORIES: biostudies-literature
Publications
Hidden Markov models incorporating fuzzy measures and integrals for protein sequence identification and alignment.
Bidargaddi Niranjan P NP Chetty Madhu M Chetty Madhu M Kamruzzaman Joarder J
Genomics, proteomics & bioinformatics 20080601 2
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 to overcome the limitations of that assumption and to achieve an improved alignment for protein sequences belonging to a given family. The proposed model fuzzifies the forward and backward variables b ...[more]
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