Mathematical and Computational Methods in Molecular Biology
The Baum-Welch Algorithm is an optimization technique used for estimating the parameters of Hidden Markov Models (HMMs) from incomplete data. This algorithm employs the Expectation-Maximization (EM) approach to maximize the likelihood of observed sequences, which is particularly useful in biological applications where complete data is often unavailable. By refining the model's transition and emission probabilities, it enables more accurate predictions of biological sequences and supports tasks such as gene finding through profile HMMs.
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