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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Detalles Bibliográficos
Autores principales: Ciaramella, Angelo, Nardone, Davide, Staiano, Antonino
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7446192/
https://www.ncbi.nlm.nih.gov/pubmed/32838739
http://dx.doi.org/10.1186/s12859-020-03567-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7446192/
https://www.ncbi.nlm.nih.gov/pubmed/32838739
http://dx.doi.org/10.1186/s12859-020-03567-6

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