emmijokinen / TCRconvLinks
TCRconv is a deep learning model for predicting recognition between T cell receptors and epitopes. It uses protBERT embeddings for the TCRs and convolutional neural networks for the prediction.
☆25Updated 3 years ago
Alternatives and similar repositories for TCRconv
Users that are interested in TCRconv are comparing it to the libraries listed below
Sorting:
- flexible CDR based distance metrics☆67Updated last year
- TCRGP, a novel Gaussian process method that can predict if TCRs recognize certain epitopes. This method can utilize different CDR sequenc…☆30Updated 2 years ago
- ☆40Updated 5 years ago
- Functional Embedding of Gene Signatures☆46Updated last year
- ☆30Updated 4 months ago
- Compute generation probabilities of CDR3 amino acid and nucleotide sequences☆62Updated 4 years ago
- Transcription Factor Binding Prediction from ATAC-seq and scATAC-seq with Deep Neural Networks☆29Updated 6 months ago
- Stitchr - a Python script to stitch together coding TCR nucleotide sequences from V, J, and CDR3 info☆59Updated 2 months ago
- Knowledge-primed neural networks☆38Updated 2 years ago
- Inference of TCR motifs☆32Updated 4 months ago
- Deep Learning Method to Identify Cancer Associated TCRs☆47Updated 3 years ago
- ExplaiNN: interpretable and transparent neural networks for genomics☆49Updated 6 months ago
- ☆38Updated last year
- Comparison of Adaptive Immune Receptor Repertoires☆28Updated 9 months ago
- ☆26Updated 5 months ago
- ☆43Updated 2 weeks ago
- Using TCR and expression for sequence embedding☆60Updated 2 months ago
- Predictor of TCR-epitope interactions☆34Updated last month
- A toolkit for optimal workflow recommendation for proteomics data differential expression analysis☆18Updated last year
- ☆19Updated last year
- ☆20Updated 3 years ago
- ☆24Updated last month
- ☆18Updated last year
- Code and data used in The Great Repertoire Project☆29Updated 4 years ago
- HLA-II ligand predictor.☆45Updated 2 years ago
- Causal inference, differential expression, and co-expression for scRNA-seq☆18Updated 3 years ago
- Decima is a Python library to train sequence models on single-cell RNA-seq data.☆48Updated 3 weeks ago
- CDR3 clustering module providing a new method for fast and accurate clustering of large data sets of CDR3 amino acid sequences, and offer…☆54Updated last year
- Using BCR and expression for sequence embedding☆25Updated 2 weeks ago
- Generic TCR-epitope recognition prediction using CNN approach on both known and novel epitopes☆17Updated 2 years ago