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☆66Updated last year
- ☆40Updated 5 years ago
- Functional Embedding of Gene Signatures☆46Updated 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
- Compute generation probabilities of CDR3 amino acid and nucleotide sequences☆58Updated 4 years ago
- ☆29Updated 2 months ago
- Knowledge-primed neural networks☆38Updated 2 years ago
- NetTCR-2.0. Sequence-based prediction of peptide-TCR binding☆35Updated 3 years ago
- Stitchr - a Python script to stitch together coding TCR nucleotide sequences from V, J, and CDR3 info☆57Updated last month
- Transcription Factor Binding Prediction from ATAC-seq and scATAC-seq with Deep Neural Networks☆29Updated 5 months ago
- ☆38Updated 3 months ago
- Inference of TCR motifs☆32Updated 3 months ago
- Generic TCR-epitope recognition prediction using CNN approach on both known and novel epitopes☆16Updated 2 years ago
- Deep Learning Method to Identify Cancer Associated TCRs☆47Updated 3 years ago
- Using TCR and expression for sequence embedding☆59Updated last month
- A toolkit for optimal workflow recommendation for proteomics data differential expression analysis☆17Updated 11 months ago
- ☆38Updated last year
- Predictor of TCR-epitope interactions☆34Updated last week
- immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.☆69Updated this week
- Computational Optimization of DNA Activity (CODA)☆61Updated 5 months ago
- Comparison of Adaptive Immune Receptor Repertoires☆28Updated 7 months ago
- Code and data used in The Great Repertoire Project☆29Updated 4 years ago
- 📝 [Paper/Tutorial] T-cell repertoire annotation and motif discovery☆14Updated this week
- Decima is a Python library to train sequence models on single-cell RNA-seq data.☆46Updated this week
- ExplaiNN: interpretable and transparent neural networks for genomics☆49Updated 5 months ago
- ☆26Updated 3 months ago
- code to run EPInformer for gene expression prediction and gene-enhancer links prioritization☆44Updated 9 months ago
- Comparing performance across many methodological dimensions among tools that predict RNA after TF knockdowns and overexpression.☆19Updated last week
- ACTIONet single-cell analysis framework☆42Updated last year
- ☆44Updated 10 months ago