Artificial neural networks (ANNs) have gained a well-deserved popularity among machine learning tools upon their recent successful applications in image- and sound processing and classification problems. ANNs have also been applied for predicting the family or function of a protein, knowing its residue sequence. Here we present two new ANNs with multi-label classification ability, showing impressive accuracy when classifying protein sequences into 698 UniProt families (AUC=99.99%) and 983 Gene Ontology classes (AUC=99.45%).
@article{arxiv.1703.10663,
title = {Near Perfect Protein Multi-Label Classification with Deep Neural Networks},
author = {Balazs Szalkai and Vince Grolmusz},
journal= {arXiv preprint arXiv:1703.10663},
year = {2017}
}