Deep Learning for Biology: Harness AI to Solve Real-World Biology Problems
Author:Charles Ravarani (Author), Natasha Latysheva (Author)
Publisher finelybook 出版社: O’Reilly Media
Publication Date 出版日期: 2025-08-26
Edition 版本: 1st
Language 语言: English
Print Length 页数: 300 pages
ISBN-10: 1098168038
ISBN-13: 9781098168032
Book Description
Bridge the gap between biology and cutting-edge machine learning techniques with this essential guide. Train and interpret deep learning models and answer fundamental biological questions. Whether your background is in biology, machine learning, or software engineering, this book empowers you with the practical skills needed for your deep learning journey.
Through step-by-step recipes, authors Natasha Latysheva and Charles Ravarani teach you to train models for tasks like understanding gene regulatory logic, uncovering insights about protein families, and exploring subcellular localization. Each chapter provides self-contained mini-projects that serve as templates for approaching complex biological problems.
By the end of this book, you’ll be able to:
- Approach biological problems with a deep learning perspective
- Train and interpret deep learning models to explore complex biological data
- Leverage Python code and iPython notebooks to extend your projects
- Transform your insights into actionable solutions in medicine, genomics, and biotechnology
About the Author
Natasha Latysheva is a biologist and machine learning practitioner who is currently a Senior Research Engineer at Google DeepMind, specializing in deep learning for genomics. With a PhD in computational biology from the University of Cambridge and experience across several machine learning domains, her expertise is in bridging the gap between biology and machine learning. She is passionate about machine learning education and making complex technical topics accessible and exciting.
