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...

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Detalles Bibliográficos
Autores principales: Rashid, Sarem, Klebanov, Nikolai, Lin, William M., Tsao, Hensin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Original Article
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

Internet

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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