wukevin / tcr-bert
Large language modeling applied to T-cell receptor (TCR) sequences.
☆50Updated 2 years ago
Alternatives and similar repositories for tcr-bert:
Users that are interested in tcr-bert are comparing it to the libraries listed below
- python tools for TCR:peptide-MHC modeling and analysis☆72Updated 11 months ago
- NetTCR-2.0. Sequence-based prediction of peptide-TCR binding☆33Updated 2 years ago
- Deep Learning the T Cell Receptor Binding Specificity of Neoantigen☆78Updated 2 years ago
- ERGO-II, an updated version of ERGO including more features for TCR-peptide binding prediction☆31Updated 2 years ago
- Code for "T Cell Receptor Specificity Prediction with Bimodal Attention Networks" (https://doi.org/10.1093/bioinformatics/btab294, ISMB 2…☆29Updated last year
- ☆71Updated last year
- STAPLER (Shared TCR And Peptide Language bidirectional Encoder Representations from transformers) is a language model that uses a joint T…☆26Updated 10 months ago
- HLA-II ligand predictor.☆41Updated last year
- 📝 [Paper] TCRen: predicting TCR-peptide recognition based on residue-level pairwise statistical potential☆18Updated 2 months ago
- Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data☆118Updated 2 years ago
- TCRconv is a deep learning model for predicting recognition between T cell receptors and epitopes. It uses protBERT embeddings for the TC…☆23Updated 2 years ago
- BigMHC predicts MHC-I (neo)epitope presentation and immunogenicity☆50Updated 10 months ago
- ☆19Updated 2 years ago
- Generic TCR-epitope recognition prediction using CNN approach on both known and novel epitopes☆15Updated last year
- Collection of papers related to BCR repertoire analyses☆18Updated 3 years ago
- ☆32Updated 2 weeks ago
- flexible CDR based distance metrics☆58Updated 7 months ago
- The official code implementation for Chromoformer in PyTorch. (Lee et al., Nature Communications. 2022)☆34Updated last year
- A visualization software for antibody multi sequence alignment☆18Updated 9 months ago
- Knowledge-primed neural networks☆35Updated last year
- ☆37Updated 5 months ago
- Functional Embedding of Gene Signatures☆40Updated last year
- ☆16Updated 3 years ago
- Computational Optimization of DNA Activity (CODA)☆56Updated 2 months ago
- Pytorch implementation of the Borzoi model from Calico, and Flashzoi, a 3x faster Borzoi enhancement.☆42Updated 2 months ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆30Updated last month
- A Deep Learning based Efficacy Prediction System for drug discovery☆64Updated 2 years ago
- Modeling of human 5′ UTRs enables the design of new sequences for target levels of translation and 5′ UTR variant prediction.☆44Updated 5 years ago
- Deep-learning empowered prediction and generation of immunogenic epitopes for T cell immunity☆65Updated last year