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 2 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☆62Updated 9 months ago
- 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 4 years ago
- ERGO-II, an updated version of ERGO including more features for TCR-peptide binding prediction☆32Updated 3 years ago
- NetTCR-2.0. Sequence-based prediction of peptide-TCR binding☆34Updated 3 years ago
- Generic TCR-epitope recognition prediction using CNN approach on both known and novel epitopes☆16Updated 2 years ago
- ☆38Updated last year
- Using TCR and expression for sequence embedding☆54Updated 3 months ago
- HLA-II ligand predictor.☆43Updated 2 years ago
- 📝 [Paper/Tutorial] T-cell repertoire annotation and motif discovery☆13Updated 5 years ago
- Comparison of Adaptive Immune Receptor Repertoires☆27Updated 4 months ago
- Functional Embedding of Gene Signatures☆43Updated last year
- Compute generation probabilities of CDR3 amino acid and nucleotide sequences☆53Updated 3 years ago
- 📝 [Paper] TCRen: predicting TCR-peptide recognition based on residue-level pairwise statistical potential☆18Updated 2 months ago
- ☆29Updated 6 months ago
- ⚙️ Matching T-cell repertoire against a database of TCR antigen specificities☆38Updated 6 years ago
- Inference of TCR motifs☆30Updated last month
- Code and data used in The Great Repertoire Project☆30Updated 3 years ago
- Fast Gene Set Enrichment Analysis (GSEA) implementation of the prerank algorithm. Use Loess interpolation of bimodal ES distribution for …☆48Updated 2 weeks ago
- ACTIONet single-cell analysis framework☆41Updated 8 months ago
- Decima is a Python library to train sequence models on single-cell RNA-seq data.☆37Updated last month
- ☆19Updated 10 months ago
- Computational Optimization of DNA Activity (CODA)☆59Updated last month
- immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.☆68Updated this week
- A shiny-based web tool for interactive analysis of DepMap data☆23Updated 4 years ago
- ExplaiNN: interpretable and transparent neural networks for genomics☆48Updated 2 months ago
- ☆51Updated 7 months ago
- Stitchr - a Python script to stitch together coding TCR nucleotide sequences from V, J, and CDR3 info☆52Updated last month
- Knowledge-primed neural networks☆37Updated 2 years ago
- Unsupervised Deep Disentangled Representation of Single-Cell Omics☆43Updated this week