A Deep Learning Framework for Predicting Protein Functions With Co-Occurrence of GO Terms
Author:
Affiliation:
1. School of Computer Science and Engineering, Central South University, Changsha, Hunan, China
2. Department of Computer Science, Old Dominion University, Norfolk, VA, USA
Funder
National Natural Science Foundation of China
Hunan Provincial Science and Technology Program
Higher Education Discipline Innovation Project
Fundamental Research Funds for the Central Universities
High Performance Computing Center of Central South University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Genetics,Biotechnology
Link
http://xplorestaging.ieee.org/ielx7/8857/10091711/09764369.pdf?arnumber=9764369
Reference54 articles.
1. Predicting protein function from sequence and structure
2. A New Method for Predicting Protein Functions From Dynamic Weighted Interactome Networks
3. Inference of Protein Function from Protein Structure
4. Supervised Approaches for Protein Function Prediction by Topological Data Analysis
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3. A Comprehensive Survey of Deep Learning Techniques in Protein Function Prediction;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2023-05-01
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