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Introduction to Computational Cancer Biology
EDITOR'S CHOICE
Book Details

ISBN: 9798273100732

Published: October 20, 2025

Categories: Computational Biology Cancer Research Bioinformatics Medical Data Science Precision Medicine

Related Keywords
Computational Biology Cancer Research Bioinformatics Oncology Data Science Genomics Systems Biology Machine Learning Precision Medicine Medical Data Analysis Cancer Genomics Personalized Medicine

Introduction to Computational Cancer Biology

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About This Book

This comprehensive guide to Computational Biology, Cancer Research, Bioinformatics provides readers with in-depth knowledge and practical skills. Whether you're a beginner or an experienced professional, this book will help you master Computational Biology.

What You'll Learn:
  • Master Computational Biology techniques
  • Master Cancer Research techniques
  • Master Bioinformatics techniques
  • Master Oncology techniques
  • Master Data Science techniques
  • Practical real-world examples
  • Best practices from industry experts
Customer Reviews
Overall Rating
4.8
(42 reviews)
Review Highlights
All Reviews
Reviewer
Prof. James Wilson
September 26, 2025

The interdisciplinary approach to Medical Data Science demonstrated in this text bridges the gap between Bioinformatics and Computational Biology in ways few other works have attempted.

Academic Review
Reviewer
Dr. Elizabeth Montgomery
July 2, 2025

As a professor of Machine Learning, I find this volume to be an indispensable resource for both undergraduate and graduate students. The treatment of Bioinformatics is particularly thorough and well-researched.

Academic Review
Reviewer
Sarah K.
November 30, 2025

After reading this, I finally understand Bioinformatics! The examples about Precision Medicine were so relatable and the exercises really helped cement the concepts.

Personal Experience
Reviewer
Jennifer L.
July 20, 2025

After reading this, I finally understand Medical Data Science! The examples about Systems Biology were so relatable and the exercises really helped cement the concepts.

Personal Experience
Reviewer
Dr. Samantha Chen
September 10, 2025

As a professor of Precision Medicine, I find this volume to be an indispensable resource for both undergraduate and graduate students. The treatment of Genomics is particularly thorough and well-researched.

Academic Review
See All Reviews (42)
Community Discussion
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Recent Discussions
User
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November 10, 2025

This is a comment about the book. I particularly liked the parts about Computational Biology. Would recommend to anyone interested in Medical Data Science!

Reply
User
.
November 11, 2025

This is a nested (level 1) comment about the book. I particularly liked the parts about Computational Biology. Would recommend to anyone interested in Precision Medicine!

User
.
November 1, 2025

This is a comment about the book. I particularly liked the parts about Computational Biology. Would recommend to anyone interested in Precision Medicine!

Reply
User
.
November 21, 2025

This is a nested (level 1) comment about the book. I particularly liked the parts about Computational Biology. Would recommend to anyone interested in Bioinformatics!

User
.
November 5, 2025

This is a nested (level 1) comment about the book. I particularly liked the parts about Computational Biology, Cancer Research, Bioinformatics. Would recommend to anyone interested in Precision Medicine!

User
.
November 4, 2025

This is a comment about the book. I particularly liked the parts about Computational Biology, Cancer Research, Bioinformatics. Would recommend to anyone interested in Precision Medicine!

Reply
User
.
November 2, 2025

This is a nested (level 1) comment about the book. I particularly liked the parts about Computational Biology, Cancer Research. Would recommend to anyone interested in Medical Data Science!

User
.
November 12, 2025

This is a nested (level 1) comment about the book. I particularly liked the parts about Computational Biology. Would recommend to anyone interested in Bioinformatics!

See All Discussions (24)