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Near Perfect Protein Multi-Label Classification with Deep Neural Networks

Abstract · Mar 30, 2017 20:25 ·

q-bio-bm cs-lg stat-ml

Arxiv Abstract

  • Balazs Szalkai
  • Vince Grolmusz

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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