Research Article

Analysis of Lymphoma-Related Genes with Gene Ontology and Kyoto Encyclopedia of Genes and Genomes Enrichment

Figure 1

Flow chart for classifying samples for two types of genes in lymphoma. The gene ontology (GO) and KEGG pathway enrichment are used to construct the features of the dataset, and the Boruta and mRMR feature selection methods are used to filter and rank features. The optimal number of features and optimal classifiers are obtained by the incremental feature selection method with DT.