Introduction to Computational Cancer Biology

By Kenwright

A practical guide to the intersection of data science and oncology. Discover how computational tools are revolutionizing cancer research and enabling precision medicine.

Pages: 884
Publication: 20 October 2025
Language: English
ISBN: 9798273100732

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There is a strong reading opportunity in the space between Computational Biology and Cancer Research. “Introduction to Computational Cancer Biology” brings those listed subjects onto the same shelf and gives your next question a place to start. Computational biology brings models and biological questions into the same conversation. Focus on one relationship and distinguish the model, its assumptions, and the observations it is meant to help interpret. Think about the job you want your next book to do. Compare the listed scope with a related title and choose the direction that best fits your current question. A deliberate choice gives the reading a stronger starting point. Save it for the next time you want to follow the idea further.

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Explore Computational Biology, Cancer Research, Bioinformatics with a reading approach that gives the ideas somewhere to go. Computational biology brings models and biological questions into the same conversation. Focus on one relationship and distinguish the model, its assumptions, and the observations it is meant to help interpret.

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Publisher’s synopsis

Cancer is one of the most complex diseases known to science, and understanding it requires more than biology alone. This book introduces readers to the powerful role of computational techniques in cancer research. From modeling tumor growth and analyzing genomic data to applying machine learning for diagnosis and treatment prediction, this guide offers a comprehensive overview of the tools and technologies reshaping oncology. Designed for students, researchers, and clinicians, it bridges the gap between biological insight and computational power.

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