sidhomj / DeepTCRLinks
Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data
☆123Updated 3 months ago
Alternatives and similar repositories for DeepTCR
Users that are interested in DeepTCR are comparing it to the libraries listed below
Sorting:
- Deep Learning the T Cell Receptor Binding Specificity of Neoantigen☆88Updated 3 years ago
- Software tools for the analysis of epitope-specific T cell receptor (TCR) repertoires (scroll down for the README)☆86Updated 4 years ago
- Grouping of Lymphocyte Interactions by Paratope Hotspots☆96Updated 5 years ago
- immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.☆73Updated last week
- NetTCR-2.0. Sequence-based prediction of peptide-TCR binding☆35Updated 3 years ago
- Single-cell ATAC-seq analysis via Latent feature Extraction☆103Updated 2 years ago
- Deep Learning Method to Identify Cancer Associated TCRs☆46Updated 3 years ago
- Computational Optimization of DNA Activity (CODA)☆67Updated 9 months ago
- ☆151Updated last year
- ☆41Updated 5 years ago
- 📚 Tools and databases for analyzing HLA and VDJ genes.☆235Updated this week
- flexible CDR based distance metrics☆69Updated 3 weeks ago
- Compendium of available lists of ligand-receptor pairs and surface-secreted protein interactions.☆147Updated 2 years ago
- ERGO-II, an updated version of ERGO including more features for TCR-peptide binding prediction☆34Updated 3 years ago
- ☆96Updated 4 years ago
- A modular framework for multimodal cross-cell-type transcriptional regulation models☆98Updated 5 months ago
- 🗂️ [vdjdb.com is up and running!] Git-based TCR database storage & management. Submissions welcome!☆149Updated 2 weeks ago
- Knowledge-primed neural networks☆38Updated 2 years ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆59Updated this week
- 📝 [Paper] TCRen: predicting TCR-peptide recognition based on residue-level pairwise statistical potential☆24Updated 3 months ago
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆160Updated 10 months ago
- Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network☆106Updated 2 years ago
- A visible neural network model for drug response prediction☆150Updated 2 years ago
- What you need to process the Quarterly DepMap-Omics releases from Terra☆125Updated 3 months ago
- predicting expression effects of human genome variants ab initio from sequence☆132Updated 11 months ago
- ☆33Updated 5 years ago
- Clonotype Neighbor Graph Analysis☆93Updated 4 months ago
- Transformer for One-Stop Interpretable Cell-type Annotation☆146Updated last year
- code to run sei and obtain sei and sequence class predictions☆110Updated 3 years ago
- ☆45Updated 2 years ago