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 Medical Data Science and Precision Medicine. “Introduction to Computational Cancer Biology” brings those listed subjects onto the same shelf and gives your next question a place to start. 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 exciting next step is practical: choose a small outcome connected to the topic, attempt it, and use the reading to sharpen your decisions. A modest project can make an ambitious subject feel much more tangible. 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.

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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