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