Deep Neural Network Applications for Bioinformatics

Abstract

As Deep Learning and Bioinformatics are constantly evolving fields, this review focuses on four types of Deep Neural Networks; Feedforward, Recurrent, Convolutional and Generative Adversarial Networks and their respective latest applications in seven important fields of Bioinformatics; Systems Biology, Sequence Analysis, Structure Prediction and Representation, Biomolecular Property and Function Prediction, Biomedical Image Processing and Diagnosis, Biomolecular Interaction Prediction and Protein Engineering. This two-level hierarchy is retained throughout the paper, enabling a clear and comprehensive presentation.