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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Looking for a new direction in Medical Data Science? “Introduction to Computational Cancer Biology” makes a persuasive case for giving the subject your attention. Bring a specific question and turn the reading into a purposeful exploration. The most rewarding way into an unfamiliar subject is often a concrete question. Choose an example that matters to you and give the reading a result you can explain or explore. Follow the most surprising question first. Sketch an explanation, imagine an alternative, and see what you would need to distinguish them. The best part of an interesting subject is often the next question it unlocks. A promising addition to a reading list with a purpose.

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Explore Computational Biology, Cancer Research, Bioinformatics with a reading approach that gives the ideas somewhere to go. The most rewarding way into an unfamiliar subject is often a concrete question. Choose an example that matters to you and give the reading a result you can explain or explore.

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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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