Name
Title | ||
|---|---|---|
Predicting lncRNA-protein interactions based on graph autoencoders and collaborative training |
Abstract | ||
|---|---|---|
Long non-coding RNAs(lncRNAs) play an important role in various biological processes. lncRNAs usually perform their molecular functions by interacting with proteins. Therefore, it is essential to predict potential lncRNA-protein associations for disease prevention and disease treatment. Label-propagation-based methods are widely used for predicting associations among biological entities. However, ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/BIBM52615.2021.9669316 | 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) |
Keywords | DocType | ISBN |
Proteins,Training,Deep learning,Codes,Computational modeling,Conferences,Collaboration | Conference | 978-1-6654-0126-5 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chen Jin | 1 | 3 | 1.39 |
| Zhuangwei Shi | 2 | 2 | 1.05 |
| Han Zhang | 3 | 7 | 5.29 |
| Yanbin Yin | 4 | 31 | 7.75 |