Deep Learning for the Life Sciences

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

Nonfiction, Computers, Advanced Computing, Theory, Artificial Intelligence, Science & Nature, Science, Biological Sciences, Genetics
Cover of the book Deep Learning for the Life Sciences by Bharath Ramsundar, Peter  Eastman, Patrick Walters, Vijay  Pande, O'Reilly Media
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Author: Bharath Ramsundar, Peter Eastman, Patrick Walters, Vijay Pande ISBN: 9781492039785
Publisher: O'Reilly Media Publication: April 10, 2019
Imprint: O'Reilly Media Language: English
Author: Bharath Ramsundar, Peter Eastman, Patrick Walters, Vijay Pande
ISBN: 9781492039785
Publisher: O'Reilly Media
Publication: April 10, 2019
Imprint: O'Reilly Media
Language: English

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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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