tianshilu / pMTnetLinks
Deep Learning the T Cell Receptor Binding Specificity of Neoantigen
☆86Updated 3 years ago
Alternatives and similar repositories for pMTnet
Users that are interested in pMTnet are comparing it to the libraries listed below
Sorting:
- Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data☆120Updated last month
- ERGO-II, an updated version of ERGO including more features for TCR-peptide binding prediction☆34Updated 3 years ago
- Computational Optimization of DNA Activity (CODA)☆64Updated 6 months ago
- NetTCR-2.0. Sequence-based prediction of peptide-TCR binding☆35Updated 3 years ago
- A modular framework for multimodal cross-cell-type transcriptional regulation models☆92Updated 2 months ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆49Updated 3 months ago
- A Deep Learning based Efficacy Prediction System for drug discovery☆72Updated 2 years ago
- Large language modeling applied to T-cell receptor (TCR) sequences.☆57Updated 3 years ago
- 📝 [Paper] TCRen: predicting TCR-peptide recognition based on residue-level pairwise statistical potential☆22Updated 3 weeks ago
- Software tools for the analysis of epitope-specific T cell receptor (TCR) repertoires (scroll down for the README)☆86Updated 4 years ago
- ☆44Updated last year
- GeneCompass☆92Updated last week
- HLA-II ligand predictor.☆45Updated 2 years ago
- Generic TCR-epitope recognition prediction using CNN approach on both known and novel epitopes☆17Updated 2 years ago
- C.Origami, a prediction and screening framework for cell type-specific 3D chromatin structure.☆80Updated last year
- SpliceTransformer(SpTransformer) is a deep learning tool to predict tissue specific splicing site from pre-mRNA sequence☆29Updated 11 months ago
- NeuronMotif: deciphering cis-regulatory codes by layerwise demixing of deep neural networks☆15Updated 2 years ago
- Deep Learning Method to Identify Cancer Associated TCRs☆47Updated 3 years ago
- ☆33Updated 8 months ago
- immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.☆69Updated this week
- code to run sei and obtain sei and sequence class predictions☆109Updated 2 years ago
- ☆43Updated last week
- Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space☆79Updated last month
- deep learning-inspired explainable sequence model for transcription initiation☆97Updated 7 months ago
- flexible CDR based distance metrics☆67Updated last year
- Transformer for One-Stop Interpretable Cell-type Annotation☆145Updated last year
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆151Updated 8 months ago
- Code for "T Cell Receptor Specificity Prediction with Bimodal Attention Networks" (https://doi.org/10.1093/bioinformatics/btab294, ISMB 2…☆30Updated 3 months ago
- A visible neural network model for drug response prediction☆148Updated 2 years ago
- ☆37Updated 2 months ago