Patrick Walters

Bharath Ramsundar

Vijay Pande

Peter Eastman

With much success already attributed to deep learning, this discipline has started making waves throughout science broadly and the life sciences in particular. With this practical book, developers and scientists will learn how deep learning is used for genomics, chemistry, biophysics, microscopy, medical analysis, drug discovery, and other fields. As a running case study, the authors focus on the problem of designing new therapeutics, one of science's greatest challenges because this practice ties together physics, chemistry, biology and medicine. Using TensorFlow and the DeepChem library, this book introduces deep network primitives including image convolutional networks, 1D convolutions for genomics, graph convolutions for molecular graphs, atomic convolutions for molecular structures, and molecular autoencoders. Deep Learning for the Life Sciences is ideal for practicing developers interested in applying their skills to scientific applications such as biology, genetics, and drug discovery, as well as scientists interested in adding deep learning to their core skills.

Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More

Deep Learning for the Life Sciences

Tony Hey

Anthony J. G. Hey

Introduction to quantum physics for the general reader.

The New Quantum Universe

The Quantum Universe is the first popular book to give a non-mathematical pictorial account of quantum physics, the foundation of our current understanding of nature. For so long the province of mathematicians and physicists alone, the beauty and significance of quantum mechanics has remained hidden to the nonspecialist. Yet its impact on technology has been enormous. The modern electronics industry with the silicon chip that has revolutionised so many aspects of modern life owes its existence to an understanding of the quantum nature of semiconductors. The text explains exactly what quantum mechanics is in a simple nonmathematical way, and is complemented throughout by many superb colour and black-and-white photographs illustrating the varied facets of quantum phenomena. The Quantum Universe will provide a fascinating and accessible introduction to one of the most important scientific disciplines of the twentieth century. Final-year students at school, general readers with an interest in science, and undergraduates in science subjects will all be able to enjoy and benefit from this novel exposition.

The Quantum Universe

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. Learn the basics of performing machine learning on molecular data Understand why deep learning is a powerful tool for genetics and genomics Apply deep learning to understand biophysical systems Get a brief introduction to machine learning with DeepChem Use deep learning to analyze microscopic images Analyze medical scans using deep learning techniques Learn about variational autoencoders and generative adversarial networks Interpret what your model is doing and how it’s working

The Theory of Special Relativity is one of the most profound discoveries of the twentieth century. Einstein's Mirror blends a simple, nonmathematical account of the theory of special relativity and gravitation with a description of the way experiments have triumphantly supported these theories. The authors explore the many applications of relativity in atomic and nuclear physics, which are many and range from satellite navigation systems, particle accelerators and nuclear power to quantum chemistry, antimatter and black holes. The book also features a superb collection of photographs and includes amusing anecdotes and biographies about the early pioneers. In the closing chapter, the authors examine the influence of Einstein's relativity on the development of science fiction. General readers with an interest in science will enjoy and benefit from this fascinating and accessible introduction to one of the most important areas of physics.

Patrick Walters

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