Binomial Distribution, Mixture Models, Em Algorithm, Bioinformatics.
a Binomial Mixture Model. Expectation Maximization (EM) Algorithm The task is to find the set of parameters, Θ, that maximizes the likelihood of observing the dataset, X = {(nᵢ, Nᵢ)| i =1,2,…,S}. The likelihood is defined as L(Θ; X) = P(X|Θ), which is the posterior probability of X given Θ. EM