High-fidelity in silico generation and augmentation of TCR repertoire data using generative adversarial networks
Abstract Engineered T-cell receptor (eTCR) systems rely on accurately generated T-cell receptor (TCR) sequences to enhance immunotherapy predictability and efficacy. The most variable and crucial part of the TCR receptor is the CDR3 sequence region. Current methods for generating CDR3 sequences, inc...
Gespeichert in:
| Hauptverfasser: | , , , , , , |
|---|---|
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Portfolio
2025-05-01
|
| Schriftenreihe: | Scientific Reports |
| Online-Zugang: | https://doi.org/10.1038/s41598-025-01172-2 |
| Tags: |
Keine Tags, Fügen Sie das erste Tag hinzu!
|