Adversarial autoencoders for MHCI epitope and immunogenicity prediction
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Updated
May 23, 2023 - Jupyter Notebook
Adversarial autoencoders for MHCI epitope and immunogenicity prediction
Metahash API client
GPU-based implementation for the HLA genotype imputation method (HIBAG)
Dataset of 86.000 peptides and their binding degree, that can be used to predict, whether a peptide is binded or not.
A utility for splitting mixed origin NGS reads with secondary or alt mappings
Standardise TR/MH data
A tool for downloading HLA alleles, epitopes and frequencies
Mining TCR:pMHC structural data
Metahash API client
Incredible Deep Learning in immunooncology with Pytorch - workshop at AIRR Community Meeting IV
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