Data integration by fuzzy similarity-based hierarchical clustering

Data integration by fuzzy similarity-based hierarchical clustering

Abstract 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...

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Bibliographic Details
Main Authors: Angelo Ciaramella, Davide Nardone, Antonino Staiano
Format: Article
Language:English
Published: BMC 2020-08-01
Series:BMC Bioinformatics
Subjects:
Multi-omics data
Data integration
Hierarchical clustering
Fuzzy similarity
Fuzzy aggregation
Online Access:http://link.springer.com/article/10.1186/s12859-020-03567-6

Internet

http://link.springer.com/article/10.1186/s12859-020-03567-6

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