Though similar to a binary classification, a multiclass classification uses different algorithms, creates different outputs, and uses more recourses. As the name suggests, it is the analysis JADBio performs when the outcome has more than two kinds of results. In the analysis of a multiclass algorithm, JADBio will often provide the results of one class in the contrast to all the others. The use case we include for multiclass analysis describes the classification of mutations in DNA molecules based on differences in their melting profile. We also have a use case that classifies different cancer types based on their tumor gene expression profiles.