Name
Title | ||
|---|---|---|
Prediction of drug-disease associations based on ensemble meta paths and singular value decomposition. |
Abstract | ||
|---|---|---|
The proposed EMP-SVD can integrate the interaction data among drugs, proteins and diseases, and predict the drug-disease associations without the need of similarity information. At the same time, the strategy of selecting more reliable negative samples will benefit the prediction. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1186/s12859-019-2644-5 | BMC bioinformatics |
Keywords | Field | DocType |
Commuting matrix,Drug development,Drug repositioning,Meta path,Singular value decomposition | Singular value decomposition,Drug repositioning,Biology,Drug development,Supervised learning,Artificial intelligence,Bioinformatics,Predictive modelling,Drug-disease,Machine learning | Journal |
Volume | Issue | ISSN |
20 | Suppl 3 | 1471-2105 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guangsheng Wu | 1 | 1 | 1.36 |
| Juan Liu | 2 | 4 | 4.15 |
| Xiang Yue | 3 | 35 | 5.27 |