Deep learning-based clustering approaches for bioinformatics
Sign Up to like & getrecommendations! Published in 2021 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbz170
Abstract: 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,… read more here.
Keywords: clustering approaches; deep learning; bioinformatics research; learning based ... See more keywords
Exploratory Analysis of Topic Interests and Their Evolution in Bioinformatics Research Using Semantic Text Mining and Probabilistic Topic Modeling
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3160795
Abstract: Bioinformatics, which has developed rapidly in recent years with the collaborative contributions of the fields of biology and informatics, provides a deeper perspective on the analysis and understanding of complex biological data. In this regard,… read more here.
Keywords: topic; topic modeling; text mining; analysis ... See more keywords
Advancing computational biology and bioinformatics research through open innovation competitions
Sign Up to like & getrecommendations! Published in 2019 at "PLoS ONE"
DOI: 10.1371/journal.pone.0222165
Abstract: Open data science and algorithm development competitions offer a unique avenue for rapid discovery of better computational strategies. We highlight three examples in computational biology and bioinformatics research in which the use of competitions has… read more here.
Keywords: research; advancing computational; biology; bioinformatics research ... See more keywords