Combining evolution and protein language models for an interpretable cancer driver mutation prediction with D2Deep
Konstantina Tzavella, Adrian Diaz, Catharina Olsen, Wim Vranken · 2025
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Description
The mutations driving cancer are being increasingly exposed through tumor-specific genomic data. However, differentiating between cancer-causing driver mutations and random passenger mutations remains challenging. State-of-the-art homology-based predictors contain built-in biases and are often ill-suited to the intricacies of cancer biology.
Catalog record
| CREATOR | Konstantina Tzavella, Adrian Diaz, Catharina Olsen, Wim Vranken |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 41 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |