Name
Title | ||
|---|---|---|
Stochastic Sensitivity Tree Boosting for Imbalanced Prediction Problems of Protein-Ligand Interaction Sites |
Abstract | ||
|---|---|---|
Prediction of protein–protein interaction sites plays an important role for understanding the protein interactions and functions. However, in the protein–protein interaction site prediction problem, the number of binding-site residues is usually much less than that of other amino acid residues in a protein chain, which would lead to the performance drop of standard machine learning methods on mino... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TETCI.2019.2922340 | IEEE Transactions on Emerging Topics in Computational Intelligence |
Keywords | DocType | Volume |
Sensitivity,Proteins,Boosting,Training,Support vector machines,Perturbation methods | Journal | 5 |
Issue | ISSN | Citations |
3 | 2471-285X | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wing W. Y. Ng | 1 | 528 | 56.12 |
| Yuda Zhang | 2 | 0 | 0.34 |
| Jianjun Zhang | 3 | 9 | 3.48 |
| Debby D Wang | 4 | 20 | 4.63 |
| Fu Lee Wang | 5 | 926 | 118.55 |