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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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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7085155/ https://ncbi.nlm.nih.gov/pubmed/32197576 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-020-3453-6 |
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