Machine learning-based approach for efficient prediction of diagnosis, prognosis and lymph node meta...
Machine learning-based approach for efficient prediction of diagnosis, prognosis and lymph node metastasis of papillary thyroid carcinoma using adhesion signature selection
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Publisher
United States: AIMS Press
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Language
English
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United States: AIMS Press
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Contents
The association between adhesion function and papillary thyroid carcinoma (PTC) is increasingly recognized; however, the precise role of adhesion function in the pathogenesis and prognosis of PTC remains unclear. In this study, we employed the robust rank aggregation algorithm to identify 64 stable adhesion-related differentially expressed genes (A...
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Full title
Machine learning-based approach for efficient prediction of diagnosis, prognosis and lymph node metastasis of papillary thyroid carcinoma using adhesion signature selection
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TN_cdi_doaj_primary_oai_doaj_org_article_2e9fca8dc6d14a41923899b82cc395ef
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2e9fca8dc6d14a41923899b82cc395ef
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ISSN
1551-0018
E-ISSN
1551-0018
DOI
10.3934/mbe.2023911
