Machine learning integration of single-cell and bulk transcriptomics identifies fibroblast-driven prognostic markers in colorectal cancer

Machine learning integration of single-cell and bulk transcriptomics identifies fibroblast-driven prognostic markers in colorectal cancer

Single-cell RNA sequencing (scRNA-seq) has significantly advanced our understanding of cellular heterogeneity and the complex interplay within the tumor microenvironment (TME) of colorectal cancer (CRC). However, translating these molecular insights into clinically actionable prognostic biomarkers...

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Bibliographic Details
Main Authors: Ning Zhang, Ruiyan Liu, Siya Wu, Chenxi Feng, Boxiang Wang, Qiaoqiao Zheng, Linru Jie, Ruihua Kang, Xiaoli Guo, Xiaoyang Wang, Shaokai Zhang, Jiangong Zhang
Format: Article
Language:English
Published: Association of Basic Medical Sciences of Federation of Bosnia and Herzegovina 2025-04-01
Series:Biomolecules & Biomedicine
Subjects:
Colorectal cancer
CRC
fibroblasts
prognosis signature
machine learning
therapy
Online Access:https://www.bjbms.org/ojs/index.php/bjbms/article/view/12038
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https://www.bjbms.org/ojs/index.php/bjbms/article/view/12038

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