A KAN-based hybrid deep neural networks for accurate identification of transcription factor binding...
A KAN-based hybrid deep neural networks for accurate identification of transcription factor binding sites
About this item
Full title
Author / Creator
He, Guodong , Ye, Jiahao , Hao, Huijun and Chen, Wei
Publisher
United States: Public Library of Science
Journal title
Language
English
Formats
Publication information
Publisher
United States: Public Library of Science
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More information
Scope and Contents
Contents
Predicting protein-DNA binding sites in vivo is a challenging but urgent task in many fields such as drug design and development. Most promoters contain many transcription factor (TF) binding sites, yet only a few have been identified through time-consuming biochemical experiments. To address this challenge, numerous computational approaches have b...
Alternative Titles
Full title
A KAN-based hybrid deep neural networks for accurate identification of transcription factor binding sites
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_plos_journals_3201460086
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3201460086
Other Identifiers
ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0322978
