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arXiv · 1703.10663

Near Perfect Protein Multi-Label Classification with Deep Neural Networks

Balazs Szalkai·Vince Grolmusz
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Abstract

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%).

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BibTeXRIS

Balazs Szalkai, Vince Grolmusz. 2017-03-30. Near Perfect Protein Multi-Label Classification with Deep Neural Networks. https://arxiv.org/abs/1703.10663

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