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The lymphatic system is the regulatory center of the immune system and is important in the immune response to foreign antigens and tumors. Studies showed that multiple genetic variants are associated with lymphoma but determining the pathogenic mechanisms remains a challenge. In the present study, we first applied the Gene Ontology (GO) and KEGG pathway enrichment analyses of lymphoma\u2010associated and lymphoma\u2010nonassociated genes. Next, the Boruta and max\u2010relevance and min\u2010redundancy feature selection methods were performed to filter and rank features. Then, features preselected and ranked using the incremental feature selection method were applied for the decision tree model to identify the best GO terms and KEGG pathways and extract classification rules. Results indicate that our predicted features, such as B\u2010cell activation, negative regulation of protein processing, negative regulation of mast cell cytokine production, and natural killer cell\u2010mediated cytotoxicity, are associated with the biological process of lymphoma, consistent with those of recent publications. This study provides a new perspective for future research on the molecular mechanisms of lymphoma.<\/jats:p>","DOI":"10.1155\/2022\/8503511","type":"journal-article","created":{"date-parts":[[2022,6,26]],"date-time":"2022-06-26T18:50:08Z","timestamp":1656269408000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Analysis of Lymphoma\u2010Related Genes with Gene Ontology and Kyoto Encyclopedia of Genes and Genomes 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