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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Бібліографічні деталі

Автори:	Ning Zhang, Ruiyan Liu, Siya Wu, Chenxi Feng, Boxiang Wang, Qiaoqiao Zheng, Linru Jie, Ruihua Kang, Xiaoli Guo, Xiaoyang Wang, Shaokai Zhang, Jiangong Zhang
Формат:	Artigo
Мова:	Inglês
Опубліковано:	Association of Basic Medical Sciences of Federation of Bosnia and Herzegovina 2025-04-01
Серія:	Biomolecules & Biomedicine
Предмети:	Colorectal cancer CRC fibroblasts prognosis signature machine learning therapy
Онлайн доступ:	https://www.bjbms.org/ojs/index.php/bjbms/article/view/12038
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