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Data integration by fuzzy similarity-based hierarchical clustering
BACKGROUND: High throughput methods, in biological and biomedical fields, acquire a large number of molecular parameters or omics data by a single experiment. Combining these omics data can significantly increase the capability for recovering fine-tuned structures or reducing the effects of experime...
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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/PMC7446192/ https://ncbi.nlm.nih.gov/pubmed/32838739 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-020-03567-6 |
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