Name
Title | ||
|---|---|---|
MSPCD: predicting circRNA-disease associations via integrating multi-source data and hierarchical neural network. |
Abstract | ||
|---|---|---|
Experiment results show that MSPCD achieves a significantly more accurate performance compared with previous state-of-the-art methods on the circFunBase dataset. The case study also demonstrates that MSPCD is a promising tool that can effectively infer unknown circRNA-disease associations. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1186/s12859-022-04976-5 | BMC Bioinformatics |
Keywords | DocType | Volume |
Circrna-disease associations,High-order features,Multi-source data,Neural network | Journal | 23-S |
Issue | ISSN | Citations |
3 | 1471-2105 | 0 |
PageRank | References | Authors |
0.34 | 2 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lei Deng | 1 | 63 | 15.72 |
| Dayun Liu | 2 | 1 | 1.37 |
| Yizhan Li | 3 | 0 | 0.34 |
| Runqi Wang | 4 | 0 | 0.34 |
| Junyi Liu | 5 | 0 | 0.34 |
| Jiaxuan Zhang | 6 | 1 | 1.37 |
| Hui Liu | 7 | 116 | 29.48 |