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☆69Updated 2 weeks ago
- ☆41Updated 5 years ago
- Functional Embedding of Gene Signatures☆48Updated last year
- ☆31Updated 6 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
- Stitchr - a Python script to stitch together coding TCR nucleotide sequences from V, J, and CDR3 info☆61Updated 4 months ago
- NetTCR-2.0. Sequence-based prediction of peptide-TCR binding☆35Updated 3 years ago
- ☆38Updated 2 years ago
- Generic TCR-epitope recognition prediction using CNN approach on both known and novel epitopes☆17Updated 2 years ago
- Transcription Factor Binding Prediction from ATAC-seq and scATAC-seq with Deep Neural Networks☆30Updated last month
- Inference of TCR motifs☆32Updated 6 months ago
- Deep Learning Method to Identify Cancer Associated TCRs☆47Updated 3 years ago
- scooby: Modeling multi-modal genomic profiles from DNA sequence at single-cell resolution.☆49Updated last month
- ☆28Updated 8 months ago
- A toolkit for optimal workflow recommendation for proteomics data differential expression analysis☆19Updated last year
- Knowledge-primed neural networks☆38Updated 2 years ago
- ACTIONet single-cell analysis framework☆44Updated last year
- CLUMPS adapted to post-translational modifications.☆10Updated 7 months ago
- Compute generation probabilities of CDR3 amino acid and nucleotide sequences☆62Updated last month
- Fast Gene Set Enrichment Analysis (GSEA) implementation of the prerank algorithm. Use Loess interpolation of bimodal ES distribution for …☆57Updated 7 months ago
- Using TCR and expression for sequence embedding☆60Updated 4 months ago
- Code and data used in The Great Repertoire Project☆29Updated 4 years ago
- Comparing performance across many methodological dimensions among tools that predict RNA after TF knockdowns and overexpression.☆21Updated 3 months ago
- Predictor of TCR-epitope interactions☆34Updated 3 months ago
- immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.☆73Updated 2 weeks ago
- Dataloader for applying sequence models to personalized genomics☆27Updated last week
- Comparison of Adaptive Immune Receptor Repertoires☆28Updated 11 months ago
- ☆19Updated last year
- Molecular interactions inference from single-cell multi-omics data☆30Updated 2 months ago
- Methods to use SNPs or gene expression to classify single cell RNAseq to reference profiles☆30Updated 5 years ago