Near Perfect Protein Multi-Label Classification with Deep Neural Networks

Our new paper “Near Perfect Protein Multi-Label Classification with Deep Neural Networks” was published on arxiv.org on 30 Mar 2017.

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. 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%).

See the article here: https://arxiv.org/abs/1703.10663