A transient receptor potential channel-related model based on machine learning for evaluating tumor microenvironment and immunotherapeutic strategies in acute myeloid leukemia

A transient receptor potential channel-related model based on machine learning for evaluating tumor microenvironment and immunotherapeutic strategies in acute myeloid leukemia

BackgroundAcute myeloid leukemia (AML) is an aggressive hematopoietic malignancy. Transient receptor potential (TRP) channels in AML still need to be further explored. A TRP channel-related model based on machine learning was established in this study.MethodsThe data were downloaded from TCGA-LAML a...

Full description

Bibliographic Details
Main Authors: Jingsheng Hua, Tianling Ding, Yanping Shao
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Immunology
Subjects:
acute myeloid leukemia
TRP
signature
schip1
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2022.1040661/full

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2022.1040661/full

Similar Items