Today, we will consider the expectation-maximization (EM) algorithm which can be used to provide maximum-likelihood estimates of the parameters in a statistical model with hidden variables, like the hidden Markov model (HMM). As an example, the EM algorithm is going to be applied to the casino model.
Finally, an HMM for CpG islands in human genomes will be discussed.
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