Spectrum: fast density-aware spectral clustering for single and multi-omic data

MOTIVATION: Clustering patient omic data is integral to developing precision medicine because it allows the identification of disease subtypes. A current major challenge is the integration multi-omic data to identify a shared structure and reduce noise. Cluster analysis is also increasingly applied...

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Detalles Bibliográficos
Autores principales: John, Christopher R, Watson, David, Barnes, Michael R, Pitzalis, Costantino, Lewis, Myles J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7703791/
https://www.ncbi.nlm.nih.gov/pubmed/31501851
http://dx.doi.org/10.1093/bioinformatics/btz704

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7703791/
https://www.ncbi.nlm.nih.gov/pubmed/31501851
http://dx.doi.org/10.1093/bioinformatics/btz704

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