Recursive Consensus Clustering for novel subtype discovery from transcriptome data

Large-scale transcriptomic data is used by biologists for the discovery of new molecular patterns or cell subpopulations. Clustering is one of the most popular methods for dimensionality reduction and data analysis for large scale datasets. The major problem while clustering the data is the selectio...

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Detalles Bibliográficos
Autores principales: Sonpatki, Pranali, Shah, Nameeta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7335086/
https://www.ncbi.nlm.nih.gov/pubmed/32620805
http://dx.doi.org/10.1038/s41598-020-67016-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7335086/
https://www.ncbi.nlm.nih.gov/pubmed/32620805
http://dx.doi.org/10.1038/s41598-020-67016-3

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