Integrating GO and KEGG terms to characterize and predict acute myeloid leukemia-related genes

Abstract

An in-depth feature analysis indicated that the results are quite consistent with previous knowledge. We developed a systematic method to identify the possible underlying mechanism of AML by analyzing the related genes. Our method has the ability to identify the types of features that are optimal to meaningfully interpret AML and accurately predict more AML genes for further clinical researches.