Machine learning-based integration develops an immune-derived lncRNA signature for improving outcome...
Machine learning-based integration develops an immune-derived lncRNA signature for improving outcomes in colorectal cancer
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Author / Creator
Liu, Zaoqu , Liu, Long , Weng, Siyuan , Guo, Chunguang , Dang, Qin , Xu, Hui , Wang, Libo , Lu, Taoyuan , Zhang, Yuyuan , Sun, Zhenqiang and Han, Xinwei
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publication information
Publisher
London: Nature Publishing Group UK
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Scope and Contents
Contents
Long noncoding RNAs (lncRNAs) are recently implicated in modifying immunology in colorectal cancer (CRC). Nevertheless, the clinical significance of immune-related lncRNAs remains largely unexplored. In this study, we develope a machine learning-based integrative procedure for constructing a consensus immune-related lncRNA signature (IRLS). IRLS is...
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Full title
Machine learning-based integration develops an immune-derived lncRNA signature for improving outcomes in colorectal cancer
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_e559c98630c143a08c83216953cca4e3
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e559c98630c143a08c83216953cca4e3
Other Identifiers
ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-022-28421-6
