Fast tree aggregation for consensus hierarchical clustering

BACKGROUND: In unsupervised learning and clustering, data integration from different sources and types is a difficult question discussed in several research areas. For instance in omics analysis, dozen of clustering methods have been developed in the past decade. When a single source of data is at p...

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Detalles Bibliográficos
Autores principales: Hulot, Audrey, Chiquet, Julien, Jaffrézic, Florence, Rigaill, Guillem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085155/
https://www.ncbi.nlm.nih.gov/pubmed/32197576
http://dx.doi.org/10.1186/s12859-020-3453-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085155/
https://www.ncbi.nlm.nih.gov/pubmed/32197576
http://dx.doi.org/10.1186/s12859-020-3453-6

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