Bioinformatics | Immunology Designing meaningful continuous representations of T cell receptor sequences with deep generative models. May 20, 2024
Bioinformatics | Immunology | Protein Design Exploring the Potential of Structure-Based Deep Learning Approaches for T cell Receptor Design. May 7, 2024
Bioinformatics | Immunology | Vaccinology GGNpTCR: A Generative Graph Structure Neural Network for Predicting Immunogenic Peptides for T-cell Immune Response. November 22, 2023
Computational Biology | Immunology Quantitative approaches for decoding the specificity of the human T cell repertoire. October 2, 2023
Immunology | Oncology TAPIR: a T-cell receptor language model for predicting rare and novel targets. September 25, 2023
Bioinformatics | Immunology Structure-based prediction of T cell receptor:peptide-MHC interactions. January 20, 2023
Immunology | Oncology DeepLION: Deep Multi-Instance Learning Improves the Prediction of Cancer-Associated T Cell Receptors for Accurate Cancer Detection. May 23, 2022
Bioinformatics | Computational Biology | Immunology DLpTCR: an ensemble deep learning framework for predicting immunogenic peptide recognized by T cell receptor. August 20, 2021
Bioinformatics | Computational Biology | Immunology Contribution of T Cell Receptor Alpha and Beta CDR3, MHC Typing, V and J Genes to Peptide Binding Prediction. May 13, 2021