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Multiple kernel learning for integrative consensus clustering of omic datasets

MOTIVATION: Diverse applications—particularly in tumour subtyping—have demonstrated the importance of integrative clustering techniques for combining information from multiple data sources. Cluster Of Clusters Analysis (COCA) is one such approach that has been widely applied in the context of tumour...

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Detalles Bibliográficos
Autores principales: Cabassi, Alessandra, Kirk, Paul D W
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7750932/
https://www.ncbi.nlm.nih.gov/pubmed/32592464
http://dx.doi.org/10.1093/bioinformatics/btaa593