Deep Learning for Biology
Deep Learning for Biology
English | 2025 | ISBN: 9781098168025 | 300 pages | EPUB | 6.3 MB
English | 2025 | ISBN: 9781098168025 | 300 pages | EPUB | 6.3 MB
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