Name
Title | ||
|---|---|---|
Prediction of Drug–Target Interactions Based on Network Representation Learning and Ensemble Learning |
Abstract | ||
|---|---|---|
Identifying interactions between drugs and target proteins is a critical step in the drug development process, as it helps identify new targets for drugs and accelerate drug development. The number of known drug–protein interactions (positive samples) is much lower than that of the unknown ones (negative samples), which forms a class imbalance. Most previous methods only utilised part of the negat... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TCBB.2020.2989765 | IEEE/ACM Transactions on Computational Biology and Bioinformatics |
Keywords | DocType | Volume |
Drugs,Proteins,Diseases,Boosting,Decision trees,Computational modeling,Predictive models | Journal | 18 |
Issue | ISSN | Citations |
6 | 1545-5963 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ping Xuan | 1 | 30 | 6.36 |
| Bingxu Chen | 2 | 0 | 0.34 |
| Tiangang Zhang | 3 | 9 | 2.83 |
| Yan Yang | 4 | 0 | 0.34 |