Name
Abstract | ||
|---|---|---|
•For the first time the prediction of protein functions is modeled as a graph-transduction game.•The paper offers a newer perspective on the automatic protein function prediction problem.•Exploit at the same time the similarities at the level of proteins and functionalities.•Has better overall performances compared to other state-of-the-art graph-based methods.•Has been massively tested on 5 organisms, 3 ontologies with thousands of classes. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.patrec.2018.04.002 | Pattern Recognition Letters |
Keywords | DocType | Volume |
Protein function prediction,Graph transduction,Game theory | Journal | 134 |
ISSN | Citations | PageRank |
0167-8655 | 2 | 0.43 |
References | Authors | |
28 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sebastiano Vascon | 1 | 35 | 6.04 |
| Marco Frasca | 2 | 56 | 5.35 |
| Rocco Tripodi | 3 | 20 | 5.27 |
| Giorgio Valentini | 4 | 905 | 56.70 |
| Marcello Pelillo | 5 | 1888 | 150.33 |