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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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Catalogue reference: d8d772fd74dc34fc

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

Readers, in their own words

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Reader review5

Excellent from start to finish

A superb guide. The examples are small but complete.

I bought this on a whim after seeing it mentioned in a forum thread, and I am glad I did. I found myself making notes in the margins, which is always a good sign. The code samples assume a particular environment, which took a bit of fiddling to get running properly. The exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. If you have the prerequisites, this is an easy recommendation. I will be keeping it on my desk rather than the shelf.

Alex BarnesTechnical lead · Copenhagen, DK
Introduction to Computational Cancer Biology
Reader review4

Well worth picking up

Good book. The writing is direct and the author is honest about limits.

I have been working with computational biology for a few years now and I still found plenty here that was new to me. The author is unusually honest about where the simplifications break down, which I appreciated. The writing is direct and does not waste space on filler, which I value in a technical book. The book rewards careful reading. Skimming it would be a mistake. Good value for the price and worth the time it takes to work through properly.

Rosa LeeSoftware engineer · Cape Town, ZA
Introduction to Computational Cancer Biology

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Learn to code by creating 12 fun Christmas-themed games, perfect for beginners and festive learning.

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A GOOD READ. THEN AN ENCORE.

Ask what a second perspective could add to your current understanding.

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