Deep Learning in Bioinformatics

Deep Learning in Bioinformatics: Techniques and Applications in Practice introduces Deep Learning in an easy-to-understand way, and then explores how Deep Learning can be utilized for addressing important problems in bioinformatics, including drug discovery, de novo molecular design, sequence analysis, protein structure prediction, gene expression regulation, protein classification, biomedical image processing and diagnosis, biomolecule interaction prediction and systems biology. The book also presents the recent theoretical and practical successes of Deep Learning in the bioinformatics domain, pointing out the problems which are suitable to utilize Deep Learning and suggest future research directions. Dr. Izadkhah provides valuable insights and will help researchers to use Deep Learning techniques in their biological and bioinformatics studies as a starting point. Introduces Deep Learning in an easy-to-understand way Presents how Deep Learning can be utilized for addressing some important problems in bioinformatics Presents the state-of-the-art algorithms in Deep Learning and bioinformatics Introduces Deep Learning libraries in bioinformatics