A new algorithm to train hidden Markov models for biological sequences with partial labels
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DOI: 10.1186/s12859-021-04080-0
Abstract: Background Hidden Markov models (HMM) are a powerful tool for analyzing biological sequences in a wide variety of applications, from profiling functional protein families to identifying functional domains. The standard method used for HMM training… read more here.
Keywords: hidden markov; method; algorithm train; biological sequences ... See more keywords