Molecular subtypes predict therapeutic responses and identifying and validating diagnostic signatures based on machine learning in chronic myeloid leukemia

Molecular subtypes predict therapeutic responses and identifying and validating diagnostic signatures based on machine learning in chronic myeloid leukemia

Abstract Chronic myeloid leukemia (CML) is a hematological tumor derived from hematopoietic stem cells. The aim of this study is to analyze the biological characteristics and identify the diagnostic markers of CML. We obtained the expression profiles from the Gene Expression Omnibus (GEO) database a...

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Bibliographic Details
Main Authors: Fang-Min Zhong, Fang-Yi Yao, Yu-Lin Yang, Jing Liu, Mei-Yong Li, Jun-Yao Jiang, Nan Zhang, Yan-Mei Xu, Shu-Qi Li, Ying Cheng, Shuai Xu, Bo Huang, Xiao-Zhong Wang
Format: Article
Language:English
Published: BMC 2023-04-01
Series:Cancer Cell International
Subjects:
Chronic myeloid leukemia
Tumor microenvironment
Diagnosis
Therapeutic response
Machine learning
Online Access:https://doi.org/10.1186/s12935-023-02905-x

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