A systematic comparison of data- and knowledge-driven approaches to disease subtype discovery

Typical clustering analysis for large-scale genomics data combines two unsupervised learning techniques: dimensionality reduction and clustering (DR-CL) methods. It has been demonstrated that transforming gene expression to pathway-level information can improve the robustness and interpretability of...

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Detalles Bibliográficos
Autores principales: Rintala, Teemu J, Federico, Antonio, Latonen, Leena, Greco, Dario, Fortino, Vittorio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Problem Solving Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8575038/
https://www.ncbi.nlm.nih.gov/pubmed/34396389
http://dx.doi.org/10.1093/bib/bbab314

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8575038/
https://www.ncbi.nlm.nih.gov/pubmed/34396389
http://dx.doi.org/10.1093/bib/bbab314

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