SRIQ clustering: A fusion of Random Forest, QT clustering, and KNN concepts

Gene expression profiling together with unsupervised analysis methods, typically clustering methods, has been used extensively in cancer research to unravel, e.g., new molecular subtypes that hold promise of disease refinement that may ultimately benefit patients. However, many of the commonly used...

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Detalles Bibliográficos
Autores principales: Karlström, Jacob, Aine, Mattias, Staaf, Johan, Veerla, Srinivas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9010551/
https://www.ncbi.nlm.nih.gov/pubmed/35465158
http://dx.doi.org/10.1016/j.csbj.2022.03.036

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9010551/
https://www.ncbi.nlm.nih.gov/pubmed/35465158
http://dx.doi.org/10.1016/j.csbj.2022.03.036

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