DLBLS_SS: protein secondary structure prediction using deep learning and broad learning system
Author:
Affiliation:
1. School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China
Abstract
Funder
National Natural Science Foundation of China
Natural Science Foundation of Shandong Province
Publisher
Royal Society of Chemistry (RSC)
Subject
General Chemical Engineering,General Chemistry
Link
http://pubs.rsc.org/en/content/articlepdf/2022/RA/D2RA06433B
Reference47 articles.
1. An enhanced protein secondary structure prediction using deep learning framework on hybrid profile based features
2. Protein secondary structure prediction by using deep learning method
3. A protein secondary structure prediction framework based on the Extreme Learning Machine
4. Dictionary of protein secondary structure: Pattern recognition of hydrogen-bonded and geometrical features
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