Deep learning for the life sciences : applying deep learning to genomics, microscopy, drug discovery and more / Bharath Ramsundar, Peter Eastman, Patrick Walters, & Vijay Pande.

Includes bibliographical references and index.

Why life science? .-- Introduction to deep learning .-- Machine learning with DeepChem .-- Machine learning for molecules .-- Biophysical machine learning .-- Deep learning for genomics.-- Machine learning for microscopy.-- Deep learning for medicine. --Generative models .--Interpretation of deep models .-- A virtual screening workflow example .-- Prospects and perspectives.

"Deep learning has already achieved remarkable results in many fields. Now it's making waves throughout the sciences broadly and the life sciences in particular. This practical book teaches developers and scientists how to use deep learning for genomics, chemistry, biophysics, microscopy, medical analysis, and other fields. Ideal for practicing developers and scientists ready to apply their skills to scientific applications such as biology, genetics, and drug discovery, this book introduces several deep network primitives. You'll follow a case study on the problem of designing new therapeutics that ties together physics, chemistry, biology, and medicine--an example that represents one of science's greatest challenges."--Cover.