Harnessing cutting-edge techniques to identify novel gene expression signatures in acute myeloid leukemia patients (opens in new tab)

IntroductionAcute Myeloid Leukemia (AML) is a heterogeneous hematological malignancy with poor prognosis, despite therapeutic advances. Gene expression analysis has emerged as a powerful tool for identifying novel biological markers that can aid in predicting patient outcomes. This study is aimed to identify prognostic gene expression signatures from RNA-seq data of 457 AML patients.MethodsFiltering methods were applied to reduce the set of genes, resulting in a subset of 685. Lasso-Cox, Baye...