Books and field notes on explaining, visualising, and being understood.Thoughtful choices. Clear sources.
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
View on Amazon

Details are supplied by the publisher catalogue. Confirm the edition, price, and availability with the retailer before buying.

0 reader favourites

Real votes on Word Power. This is an interest count, not a review score.

Word Power / The reading view

Give your next explanation more substance.

Looking for a new direction in Computational Biology? “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. Use the topic as material for a clearer explanation. Choose a person who needs the idea, find a concrete example, and make the connection visible. The result can be a better conversation as well as a useful reading session. Save it for the next time you want to follow the idea further.

Find your reading angle →

Word Power reading lens

Make the idea clearer

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.

A question before you choose

Does the sample connect technical detail to a clear question or decision?

Try this with the topic

Choose one listed topic and explain why it matters to a reader outside the field. Use a concrete case and name the limits of your explanation.

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.

Make room for the reading

A little planning helps.

Estimate sessions from the listed page count. Technical exercises and rereading can take extra time.

89 sessions at 10 pages per session.

Keep the thread going

Related directions.

Explore another angle on the subject.

The Responsible XR Playbook — cover

Extended Reality

The Responsible XR Playbook

A practical guide to navigating and developing strong, safe, and trustworthy XR solutions that goes beyond just adding an ethics sticker.

268 pages2026