Deep learning-based clustering approaches for bioinformatics

Volume: 22, Issue: 1, Pages: 393 - 415
Published: Jan 18, 2021
Abstract
Clustering is central to many data-driven bioinformatics research and serves a powerful computational method. In particular, clustering helps at analyzing unstructured and high-dimensional data in the form of sequences, expressions, texts and images. Further, clustering is used to gain insights into biological processes in the genomics level, e.g. clustering of gene expressions provides insights on the natural structure inherent in the data,...
Paper Details
Title
Deep learning-based clustering approaches for bioinformatics
Published Date
Jan 18, 2021
Volume
22
Issue
1
Pages
393 - 415
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