https://github.com/wukevin/tcr-bert

Large language modeling applied to T-cell receptor (TCR) sequences.
https://github.com/wukevin/tcr-bert

bert machine-learning tcr

Last synced: about 1 year ago
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Large language modeling applied to T-cell receptor (TCR) sequences.

• Host: GitHub
• URL: https://github.com/wukevin/tcr-bert
• Owner: wukevin
• License: apache-2.0
• Created: 2021-11-12T18:02:40.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2022-05-04T23:33:39.000Z (about 4 years ago)
• Last Synced: 2025-04-10T06:08:31.654Z (about 1 year ago)
• Topics: bert, machine-learning, tcr
• Language: Jupyter Notebook
• Homepage:
• Size: 361 MB
• Stars: 52
• Watchers: 1
• Forks: 9
• Open Issues: 10
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-vdj - **tcr-bert** - BERT is a large language model trained on T-cell receptor sequences, built using a lightly modified BERT architecture with tweaked pre-training objectives.<br>[Paper](http://dx.doi.org/10.1101/2021.11.18.469186) · 🪝 [74](https://www.semanticscholar.org/paper/7ef95e6164999fe9fc6d30ce2b64e8f0cabaf225) · ⭐ [57](https://github.com/wukevin/tcr-bert/stargazers) · `Python` (🔬 VDJ Analysis / Structure & Modeling)