Skip to content

Releases: GfellerLab/MixTCRpred

MixTCRpred_v1.0_NY-ESO-1

16 Jan 16:22
Compare
Choose a tag to compare

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

11 Mar 19:25
Compare
Choose a tag to compare

Official release of MixTCRpred_v1.0, a TCR-epitope interaction predictor