Name
Abstract | ||
|---|---|---|
aSummary: In the last decade, increasing attention has been paid to the study of gene fusions. However, the problem of determining whether a gene fusion is a cancer driver or just a passenger mutation is still an open issue. Here we present DEEPrior, an inherently flexible deep learning tool with two modes (Inference and Retraining). Inference mode predicts the probability of a gene fusion being involved in an oncogenic process, by directly exploiting the amino acid sequence of the fused protein. Retraining mode allows to obtain a custom prediction model including new data provided by the user. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1093/bioinformatics/btaa069 | BIOINFORMATICS |
DocType | Volume | Issue |
Journal | 36 | 10 |
ISSN | Citations | PageRank |
1367-4803 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marta Lovino | 1 | 0 | 0.68 |
| Maria Serena Ciaburri | 2 | 0 | 0.34 |
| Gianvito Urgese | 3 | 21 | 9.52 |
| Santa Di Cataldo | 4 | 76 | 10.82 |
| Elisa Ficarra | 5 | 122 | 22.25 |