Evaluating the prognostic potential of telomerase signature in breast cancer through advanced machine learning model

Evaluating the prognostic potential of telomerase signature in breast cancer through advanced machine learning model

BackgroundBreast cancer prognosis remains a significant challenge due to the disease's molecular heterogeneity and complexity. Accurate predictive models are critical for improving patient outcomes and tailoring personalized therapies.MethodsWe developed a Machine Learning-assisted Telomerase S...

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Bibliographic Details
Main Authors: Xiao Guo, Yuyan Cao, Xinlin Shi, Jiaying Xing, Chuanbo Feng, Tao Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-11-01
Series:Frontiers in Immunology
Subjects:
breast cancer
telomerase genes
machine learning
PD-1
gemcitabine
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2024.1462953/full
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