Name
Title | ||
|---|---|---|
Protein Fold Recognition Based on Auto-Weighted Multi-View Graph Embedding Learning Model |
Abstract | ||
|---|---|---|
Protein fold recognition is critical for studies of the protein structure prediction and drug design. Several methods have been proposed to obtain discriminative features from the protein sequences for fold recognition. However, the ensemble methods that combine the various features to improve predictive performance remain the challenge problems. In this study, we proposed two novel algorithms: AW... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TCBB.2020.2991268 | IEEE/ACM Transactions on Computational Biology and Bioinformatics |
Keywords | DocType | Volume |
Proteins,Predictive models,Protein sequence,Feature extraction,Prediction algorithms | Journal | 18 |
Issue | ISSN | Citations |
6 | 1545-5963 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |