Name
Title | ||
|---|---|---|
Prediction of protein self-interactions using stacked long short-term memory from protein sequences information. |
Abstract | ||
|---|---|---|
The results show that our method is overall superior to any of the other existing state-of-the-art techniques. As far as we know, this study first applies deep learning method to predict SIPs, and practical experimental results reveal its potential in SIPs identification. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1186/s12918-018-0647-x | BMC systems biology |
Keywords | Field | DocType |
Deep learning,Dropout,Self-interacting proteins,Stacked long short-term memory | Biology,Long short term memory,Systems biology,Artificial intelligence,Bioinformatics,Deep learning,Machine learning | Journal |
Volume | Issue | ISSN |
12 | Suppl 8 | 1752-0509 |
Citations | PageRank | References |
1 | 0.34 | 28 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yan-Bin Wang | 1 | 2 | 1.38 |
| Zhuhong You | 2 | 748 | 55.20 |
| Xiao Li | 3 | 17 | 7.86 |
| Tonghai Jiang | 4 | 1 | 1.02 |
| Li Cheng | 5 | 30 | 11.88 |
| Zhan-Heng Chen | 6 | 2 | 5.76 |