altayg / Deep-Learning-MHCI
For MHC-I protein-peptide binding predictions: Deep Learning model with CNN and Snakemake workflow
☆12Updated 6 years ago
Alternatives and similar repositories for Deep-Learning-MHCI:
Users that are interested in Deep-Learning-MHCI are comparing it to the libraries listed below
- ERGO is a deep learing based model for predicting TCR-peptide binding.☆17Updated 2 years ago
- Collection of scripts for pre- and postprocessing neoantigen discovery calls.☆9Updated 5 years ago
- Deep learning based prediction of IsoForm FUnctions from Sequences and Expression☆15Updated 3 years ago
- Epitope immunogenicity prediction through in silico TCR-peptide contact potential profiling.☆23Updated last year
- A Bio2BEL package for integrating pathway-related information from KEGG in BEL☆13Updated 2 years ago
- Major Histocompatibility Complex (MHC) Binding Affinity Prediction☆9Updated 3 years ago
- 🧛 Deep generative models for TCR sequences 🧛☆16Updated 2 years ago
- ☆10Updated 3 years ago
- Deep proteome inference from peptide profiles☆13Updated 4 years ago
- Code for the paper "A comprehensive examination of Nanopore native RNA sequencing for characterization of complex transcriptomes"☆19Updated 5 years ago
- Map genetic variants and protein positions to protein interfaces in 3D☆13Updated last year
- Use machine learning to design codon-optimized DNA sequences for increased protein expression.☆15Updated 2 years ago
- GEDFN: Graph-Embedded Deep Feedforward Network☆23Updated 5 years ago
- Detects hotspot regions for somatic mutations in 3D protein structures☆2Updated 10 months ago
- Deep learning model to predict degron sequences☆19Updated last year
- ☆23Updated 3 years ago
- Annotation of mutated peptide sequences with published or novel potential neoantigen descriptors☆29Updated 5 months ago
- Comparison of Adaptive Immune Receptor Repertoires☆26Updated last year
- A deep learning approach for predicting high-confidence neoantigens by considering both the presentation possibilities of mutant peptides…☆41Updated last year
- MetaLogo: a heterogeneity-aware sequence logo generator and aligner☆20Updated last year
- Nextflow pipeline for the computation of structure-based MSAs with AlphaFold2 models☆12Updated 2 years ago
- DIABLO - an integrative multi-group, multi-dataset classification method☆21Updated 5 years ago
- MetNormalizer is used to normalize large scale metabolomics data.☆20Updated 3 years ago
- A comprehensive gene set function enrichment tool for multiple species.☆13Updated 4 years ago
- Large-scale automatic feature selection for biomarker discovery in high-dimensional OMICs data☆27Updated 9 months ago
- Model-based Analysis of Protein Degradability☆10Updated 3 years ago
- ☆16Updated 7 months ago
- MHC Class I and Class II neoantigen binding prediction☆26Updated last year
- Amino acid embedding and Convolutional Neural Network for HLA Class I-peptide binding prediction☆25Updated 7 years ago
- Fast, sensitive and accurate protein remote homology search on GPUs☆15Updated 8 months ago