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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

Worth every page

Finally, a book that treats computational biology with the care it deserves.

I read this over a couple of weekends alongside a small side project, which turned out to be the ideal way to approach it. Some of the material is available elsewhere, but rarely presented this clearly. I appreciated the honesty about what the book does not cover — it saved me from expecting things that were not there. I found myself making notes in the margins, which is always a good sign. An easy five stars from me. I look forward to whatever the author writes next.

Max ThomasEmbedded systems engineer · San Francisco, CA
Introduction to Computational Cancer Biology
Reader review5

Outstanding introduction

Worth every page. I have already recommended it to two colleagues.

I had been on the fence about this one for a while, and I should have bought it sooner. The chapters on computational biology are the strongest — the examples are stripped down but complete, and I could follow along without constant guessing. I found myself making notes in the margins, which is always a good sign. Worth the money and the reading time, without hesitation.

Charlotte LopezBioinformatics researcher · Toronto, ON
Introduction to Computational Cancer Biology
Reader review4

Good value, minor gaps

Recommended, with the caveat that it is not a gentle introduction.

I bought this on a whim after seeing it mentioned in a forum thread, and I am glad I did. The examples are small enough to type out and experiment with, which is exactly what I want from a book like this. The balance between theory and practice is well judged; neither side dominates. Worth picking up if you already have the basics. Set realistic expectations and you will get a lot out of it.

Kenji WrightCloud architect · Bangalore, IN
Introduction to Computational Cancer Biology

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