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Comparison of Methods for Feature Selection in Clustering of High-Dimensional RNA-Sequencing Data to Identify Cancer Subtypes

Cancer subtype identification is important to facilitate cancer diagnosis and select effective treatments. Clustering of cancer patients based on high-dimensional RNA-sequencing data can be used to detect novel subtypes, but only a subset of the features (e.g., genes) contains information related to...

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Detalles Bibliográficos
Autores principales:	Källberg, David, Vidman, Linda, Rydén, Patrik
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Genetics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7943624/ https://www.ncbi.nlm.nih.gov/pubmed/33719342 http://dx.doi.org/10.3389/fgene.2021.632620

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