Releases: GfellerLab/MixTCRpred
Releases · GfellerLab/MixTCRpred
MixTCRpred_v1.0_NY-ESO-1
This release contains the first version of MixTCRpred, a machine learning tool designed to predict TCR–epitope interactions. The release focuses on predicting TCRs specific to the NY-ESO-1 epitope, a well-known cancer-testis antigen expressed in various cancers such as melanoma, lung, and ovarian cancer.
Key Features:
- Training Data: Includes TCR sequences collected with the phage display experiments.
- Pretrained model "A0201_NY-ESO-1-CDR3b": A machine learning predictor trained on NY-ESO-1-specific TCR data.
MixTCRpred_v1.0
Official release of MixTCRpred_v1.0, a TCR-epitope interaction predictor