Motieghader et al. [21] developed a feature selection model using GAs and Learning Automata (LA), called GALA, which they tested for classification on five microarray datasets having two or more types of leukemia (ALL_AML - Broad Institute, MLL - MLData.org), lymphoma (SRBCT - National Human Genome Research Institute), colon (Computational Intelligence Lab, University of Jinan), or general (Tumors_9, Tumors_11 - GEMS cancer datasets) cancers. Here, KMT2A is linked to cancer.