Deep Learning Applications in Translational Bioinformatics

Deep Learning Applications in Translational Bioinformatics, a new volume in the Advances in Ubiquitous Sensing Application for Healthcare series, offers a detailed overview of basic bioinformatics, deep learning, various applications of deep learning in translational bioinformatics including deep learning ensembles, deep learning in protein classification, detection of various diseases, prediction of antiviral peptides, identification of antibiotic resistance, computer aided drug design and drug formulation.

This new volume helps researchers working in the field of machine learning and bioinformatics to foster future research and development in ensemble deep learning and inspire new bioinformatics applications that cannot be attained by using traditional machine learning models.



- Addresses the practical application of deep learning algorithms to a wide range of bioinformatics challenges

- Presents integrative and multidisciplinary approaches to ubiquitous healthcare

- Includes case studies to illustrate the concepts discussed