Pipeline for harmonising immunological receptor–epitope interactions
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Updated
Sep 28, 2026 - Python
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t-cell-epitope
Here are 4 public repositories matching this topic...
Bias-controlled evaluation protocol and pipeline for neoantigen immunogenicity prediction: matched HLA-only and peptide-only null controls, shortcut-dependence diagnostics, and a no-override acceptance gate.
python benchmark bioinformatics pytorch mhc reproducibility hla mutual-information computational-immunology neoantigen shortcut-learning evaluation-protocol immunogenicity-prediction iedb t-cell-epitope
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Oct 11, 2026 - Python
Chapter 6 of Machine Learning for Biology. Sequence-only immunogenicity prediction on 1,200 HLA-A*02:01 IEDB binders, cluster-split and pre-registered. Network 0.610 AUPRC, binding-only baseline 0.591, chance 0.485.
machine-learning bioinformatics tesla immunoinformatics computational-immunology neoantigen cancer-immunotherapy immunogenicity iedb t-cell-epitope peptide-mhc mhc-class-i hla-a0201
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Sep 20, 2026 - Python
An ML-based immunogenicity predictor for T-cell epitopes of Mycobacterium Tuberculosis. It is purely based on amino acid sequences of epitope. Used Physicochemical descriptors and Amino Acid composition to make this proteomic data ML ready.
random-forest bioinformatics-pipeline amino-acid-sequence immunoinformatics epitopes-prediction mycobacterium-tuberculosis epitope-immunogenicity-prediction immunogenicity-prediction t-cell-epitope
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Aug 10, 2026 - Jupyter Notebook
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