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Unsupervised Phenotype-Based Clustering of Clinicopathologic Features in Cutaneous Melanoma
Pathogenic phenotypes in cutaneous melanoma have been vastly cataloged, although these classifications lack concordance and are confined to either morphological or molecular contexts. In this study, we perform unsupervised k-medoids clustering as a machine learning technique of 2,978 primary cutaneo...
Autores principales: | Rashid, Sarem, Klebanov, Nikolai, Lin, William M., Tsao, Hensin |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659382/ https://www.ncbi.nlm.nih.gov/pubmed/34909744 http://dx.doi.org/10.1016/j.xjidi.2021.100047 |
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