We fitted three mixture models for 0,2 with 0 ranging from 1 to 3.

We first set up the mixture model for the gene expression data.

Then a normal mixture model was fitted to each data set.

An important part of the latent profile analysis is the mixture model.

Application We fitted five mixture models with g ranging from 1 to 5.

Therefore, we choose to fit a three-component normal mixture model.

For example, its earliest application was in finding mixture models with the optimal number of classes.

In an indirect application of the mixture model we do not assume such a mechanism.

The mixture model is simply used for its mathematical flexibilities.

As before, initial guesses of the parameters for the mixture model are made.