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Computational Biology

Introduction to Computational Cancer Biology

By Kenwright

Explore how computational methods are transforming cancer biology and driving innovation in oncology.

WHAT THE PUBLISHER HIGHLIGHTS

  • Understand how data science is applied to cancer biology.
  • Learn key computational techniques used in oncology research.
  • Explore real-world applications of bioinformatics in cancer treatment.

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INSIDE THE BOOK

About this book

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.

From the publisher’s description

  • Understand how data science is applied to cancer biology.
  • Learn key computational techniques used in oncology research.
  • Explore real-world applications of bioinformatics in cancer treatment.
  • Gain insights into the future of personalized medicine.

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ANOTHER PERSPECTIVE

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Reader review5

Finally, an explanation that clicks

This is the one to get if you are serious about computational biology.

There is a particular kind of technical book that is dense without being difficult, and this is one of them. A few of the examples could be more realistic, but the underlying points come across clearly. Some of the diagrams are dense and I had to reread a few sections, though that may just be me. Worth the money and the reading time, without hesitation.

Priya HarrisData engineer · Buenos Aires, AR
Introduction to Computational Cancer Biology
Reader review5

Better than I expected

Excellent from start to finish. No filler, no padding.

A colleague recommended this and I can see why. It does something that few technical books manage: it respects the reader's time. A couple of chapters felt like they could have been merged, but that is a minor complaint. There is a section near the end that ties several earlier ideas together in a way I had not seen before. If you have the prerequisites, this is an easy recommendation. I will be keeping it on my desk rather than the shelf.

Lucy FloresUniversity lecturer · Vancouver, BC
Introduction to Computational Cancer Biology

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