Acute Myeloid Leukemia Genome Characterization Study and Subtype Classification Employing Feature Selection and Bayesian Networks

Acute Myeloid Leukemia Genome Characterization Study and Subtype Classification Employing Feature Selection and Bayesian Networks

<b>Background:</b> The precise diagnosis and classification of acute myeloid leukemia (AML) has important implications for clinical management and medical research. <b>Methods:</b> We investigated the expression of protein-coding genes in blood samples from AML patients and c...

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Bibliographic Details
Main Authors: Zhenzhen Li, Jingwen Li, Sifan Li, Yangyang Wang, Jihan Wang
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Biomedicines
Subjects:
AML
feature selection
classification
subtypes
Online Access:https://www.mdpi.com/2227-9059/13/5/1067
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