An Integrated Machine Learning Framework Identifies Prognostic Gene Pair Biomarkers Associated with Programmed Cell Death Modalities in Clear Cell Renal Cell Carcinoma

An Integrated Machine Learning Framework Identifies Prognostic Gene Pair Biomarkers Associated with Programmed Cell Death Modalities in Clear Cell Renal Cell Carcinoma

Background: Clear cell renal cell carcinoma (ccRCC) is a common and lethal urological malignancy for which there are no effective personalized therapeutic strategies. Programmed cell death (PCD) patterns have emerged as critical determinants of clinical prognosis and immunotherapy responses. However...

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Bibliographic Details
Main Authors: Bohong Chen, Mingguo Zhou, Li Guo, Haoxiang Huang, Xinyue Sun, Zihe Peng, Dapeng Wu, Wei Chen
Format: Article
Language:English
Published: IMR Press 2024-03-01
Series:Frontiers in Bioscience-Landmark
Subjects:
programmed cell death
clear cell renal cell carcinoma
machine learning
single-cell rna-seq
radiomics
prss23
Online Access:https://www.imrpress.com/journal/FBL/29/3/10.31083/j.fbl2903121

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https://www.imrpress.com/journal/FBL/29/3/10.31083/j.fbl2903121

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