Adversarial autoencoders for MHCI epitope and immunogenicity prediction

Generative network-based approaches allow to use less training data, which is critical for MHCI with the lack of high-quality data.

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
aa_models		aa_models
analysis		analysis
data		data
eda		eda
feng		feng
immunogen		immunogen
results_clf		results_clf
results_nolabel		results_nolabel
scripts		scripts
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
aae.ipynb		aae.ipynb
immunogen.ipynb		immunogen.ipynb
train.py		train.py
train_aae.py		train_aae.py

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