KarchinLab / mhcnuggetsLinks
MHC Class I and Class II neoantigen binding prediction
☆33Updated 5 months ago
Alternatives and similar repositories for mhcnuggets
Users that are interested in mhcnuggets are comparing it to the libraries listed below
Sorting:
- HLA-II ligand predictor.☆46Updated 2 years ago
- immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.☆73Updated last week
- TCRconv is a deep learning model for predicting recognition between T cell receptors and epitopes. It uses protBERT embeddings for the TC…☆26Updated 3 years ago
- ☆38Updated 2 years ago
- Knowledge-primed neural networks☆38Updated 2 years ago
- APA Regression Net - Predict and Engineer Alternative Polyadenylation☆40Updated 4 years ago
- PRedictor of IMmunogenic Epitopes☆25Updated 3 months ago
- Predicting gene expression levels from genomic sequences☆54Updated 5 years ago
- Python interface to running command-line and web-based MHC binding predictors☆99Updated last year
- A deep learning approach for predicting high-confidence neoantigens by considering both the presentation possibilities of mutant peptides…☆43Updated 2 years ago
- DRUGZ software☆25Updated 4 years ago
- NetTCR-2.0. Sequence-based prediction of peptide-TCR binding☆35Updated 3 years ago
- Code and data used in The Great Repertoire Project☆29Updated 4 years ago
- 🏺 Exploring novel tumor epitope identification☆37Updated 5 years ago
- ☆24Updated 4 months ago
- HLA-I ligand predictor☆43Updated 3 months ago
- Immunoglobulin and T-Cell receptor rearrangement software☆50Updated this week
- Deep Learning Method to Identify Cancer Associated TCRs☆46Updated 3 years ago
- Detailed explanation on how to setup database for NCBI IgBlast executable, and using it in Python☆31Updated 3 years 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
- flexible CDR based distance metrics☆69Updated last month
- CDR3 clustering module providing a new method for fast and accurate clustering of large data sets of CDR3 amino acid sequences, and offer…☆54Updated last year
- Deep Learning the T Cell Receptor Binding Specificity of Neoantigen☆88Updated 3 years ago
- Seq2Neo: a comprehensive pipeline for cancer neoantigen immunogenicity prediction☆22Updated 2 years ago
- Identify and quantify MHC eluted peptides from mass spectrometry raw data☆42Updated this week
- Fast Gene Set Enrichment Analysis (GSEA) implementation of the prerank algorithm. Use Loess interpolation of bimodal ES distribution for …☆58Updated 7 months ago
- Functional Embedding of Gene Signatures☆48Updated last year
- Standard set of data-loaders for training and making predictions for DNA sequence-based models.☆83Updated last year
- Stitchr - a Python script to stitch together coding TCR nucleotide sequences from V, J, and CDR3 info☆64Updated 4 months ago
- Epitope immunogenicity prediction through in silico TCR-peptide contact potential profiling.☆25Updated 2 years ago