Identification of Candidate Diagnostic Biomarkers and Construction of an Interpretable Machine-Learning Model for Acute Myeloid Leukemia
Acute myeloid leukemia (AML) is a molecularly heterogeneous disease, with considerable variation in molecular abnormalities and gene-expression patterns among patients. This study aimed to identify a compact diagnostic gene signature and develop an interpretable machine-learning model for distinguishing AML from normal...