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Introduction to Computational Cancer Biology — cover

Book cover from the publisher catalogue.

Computational Biology

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 Precision Medicine? “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. Bring your strongest question to the material. Examine a claim, consider an alternative, and ask what evidence would settle the difference. There is real satisfaction in turning a broad interest into a sharper judgement. Pick a question. Open a book. See where it takes you.

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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.

The listed 884 pages give a sense of extent; page count alone does not establish depth or difficulty.

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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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