Data integration by fuzzy similarity-based hierarchical clustering.
Journal:
BMC bioinformatics
Published Date:
Aug 21, 2020
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 experimental and biological noise in data.