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A hidden Markov model (HMM) is a statistical tool applied to model stochastic sequences. In an ordinary HMM a hidden Markov chain named, the chain of states emits a sequence of observations. In this model, given a state the emissions are assumed to be independent from each other. However several researchers have already studied the dependencies between emissions. In this paper a new approach for consideration...
Reconstructing haplotype in MEC (minimum error correction) model is an important clustering problem which focuses on inferring two haplotypes from SNP fragments (single nucleotide polymorphism) containing gaps and errors. Mutated form of human genome is responsible for genetic diseases which mostly occur in SNP sites. In this paper, a fuzzy clustering approach is performed for haplotype reconstruction...
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