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Machine learning-based integration develops an immune-derived lncRNA signature for improving outcomes in colorectal cancer

Authors :
Zaoqu Liu
Long Liu
Siyuan Weng
Chunguang Guo
Qin Dang
Hui Xu
Libo Wang
Taoyuan Lu
Yuyuan Zhang
Zhenqiang Sun
Xinwei Han
Source :
Nature Communications, Vol 13, Iss 1, Pp 1-14 (2022)
Publication Year :
2022
Publisher :
Nature Portfolio, 2022.

Abstract

Identification of long non-coding RNA (lncRNA) signatures could be used to improve cancer clinical outcome. Here the authors developed a machine learning-based integrative procedure to construct a consensus immune-related lncRNA signature to predict prognosis, recurrence and treatment benefits in colorectal cancer.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.559c98630c143a08c83216953cca4e3
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-022-28421-6