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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 review4

Almost excellent

Well worth picking up if you already have the basics.

I have been working with computational biology for a few years now and I still found plenty here that was new to me. There is a section near the end that ties several earlier ideas together in a way I had not seen before. The book rewards careful reading. Skimming it would be a mistake. Four stars, and I suspect a second edition could easily push it to five.

Wei BakerPhD student · Helsinki, FI
Introduction to Computational Cancer Biology
Reader review4

Almost excellent

Well worth picking up if you already have the basics.

I bought this on a whim after seeing it mentioned in a forum thread, and I am glad I did. 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 picking up if you already have the basics. Set realistic expectations and you will get a lot out of it.

Hana JonesFull-stack developer · Montreal, QC
Introduction to Computational Cancer Biology
Reader review4

Strong content, uneven pacing

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

I bought this on a whim after seeing it mentioned in a forum thread, and I am glad I did. The index and cross-references are surprisingly good, which matters for a book I will come back to. I appreciated the honesty about what the book does not cover — it saved me from expecting things that were not there. It is denser than the page count suggests, and I found myself slowing down around the middle. Solid, and I would buy another book from this author without hesitation.

Omar AndersonSelf-taught developer · Warsaw, PL
Introduction to Computational Cancer Biology

BEYOND THE BOOKSHELF

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