Introduction to Computational Cancer Biology
ISBN: 9798273100732
Published: October 20, 2025
Categories: Computational Biology, Cancer Research, Bioinformatics, Medical Data Science, Precision Medicine
Keywords: Computational Biology, Cancer Research, Bioinformatics, Oncology, Data Science, Genomics, Systems Biology, Machine Learning, Precision Medicine, Medical Data Analysis, Cancer Genomics, Personalized Medicine
About This Book
From the perspective of a Medical Data Science professional, this book offers practical and immediately applicable. The case studies on Data Science added tremendous value. It's rare to find a book that covers so much ground so effectively.From the perspective of a Medical Data Science professional, this book offers practical and immediately applicable. The case studies on Data Science added tremendous value. It's rare to find a book that covers so much ground so effectively.From the perspective of a Medical Data Science professional, this book offers practical and immediately applicable. The case studies on Data Science added tremendous value. It's rare to find a book that covers so much ground so effectively.
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Customer Reviews
Dr. from Berlin
Rating: ★★★☆☆
As a long-time fan of Cancer Research, I found Introduction to Computational Cancer Biology to be engaging and accessible to all readers. The chapters on Cancer Research were particularly enlightening. After reading this, I've already recommended it to several colleagues.
Reviewed on February 26, 2025
Professor from Chicago
Rating: ★★★☆☆
What makes Introduction to Computational Cancer Biology unique in the field of Computational Biology is engaging and accessible to all readers. The chapters on Cancer Research were particularly enlightening. It's rare to find a book that covers so much ground so effectively.
Reviewed on October 20, 2025
Editor from Paris
Rating: ★★★★☆
What makes Introduction to Computational Cancer Biology unique in the field of Computational Biology is practical and immediately applicable. The chapters on Cancer Research were particularly enlightening. This is a must-read for professionals in Bioinformatics.
Reviewed on April 18, 2025
Editor from London
Rating: ★★★★★
Having read numerous books on Bioinformatics, I can confidently say that Introduction to Computational Cancer Biology stands out because a perfect balance of theory and practice. The chapters on Cancer Research were particularly enlightening. It's rare to find a book that covers so much ground so effectively.
Reviewed on December 3, 2025
Reviewer from Sydney
Rating: ★★★★★
What makes Introduction to Computational Cancer Biology unique in the field of Computational Biology is a perfect balance of theory and practice. I especially appreciated the sections dealing with Bioinformatics. After reading this, I've already recommended it to several colleagues.
Reviewed on April 4, 2025
Critic from Berlin
Rating: ★★★☆☆
Having read numerous books on Bioinformatics, I can confidently say that Introduction to Computational Cancer Biology stands out because engaging and accessible to all readers. The practical exercises for Computational Biology were incredibly useful. It's rare to find a book that covers so much ground so effectively.
Reviewed on January 29, 2025
Book Enthusiast from Sydney
Rating: ★★★★★
For beginners in Cancer Research, this book provides deeply insightful with real-world examples. The chapters on Cancer Research were particularly enlightening. After reading this, I've already recommended it to several colleagues.
Reviewed on September 20, 2025
Reviewer from London
Rating: ★★★★☆
The author's approach to Computational Biology in Introduction to Computational Cancer Biology is deeply insightful with real-world examples. The case studies on Data Science added tremendous value. I would highly recommend this book to anyone interested in Cancer Research.
Reviewed on January 29, 2025
Book Enthusiast from London
Rating: ★★★★☆
For beginners in Cancer Research, this book provides engaging and accessible to all readers. The case studies on Data Science added tremendous value. It's rare to find a book that covers so much ground so effectively.
Reviewed on July 24, 2025
Reviewer from Toronto
Rating: ★★★☆☆
Having read numerous books on Bioinformatics, I can confidently say that Introduction to Computational Cancer Biology stands out because deeply insightful with real-world examples. The chapters on Cancer Research were particularly enlightening. This is a must-read for professionals in Bioinformatics.
Reviewed on March 14, 2025
Book Enthusiast from Berlin
Rating: ★★★☆☆
The author's approach to Computational Biology in Introduction to Computational Cancer Biology is deeply insightful with real-world examples. The practical exercises for Computational Biology were incredibly useful. It's rare to find a book that covers so much ground so effectively.
Reviewed on March 9, 2025
Book Enthusiast from Paris
Rating: ★★★★☆
As a long-time fan of Cancer Research, I found Introduction to Computational Cancer Biology to be innovative and thought-provoking. I especially appreciated the sections dealing with Bioinformatics. This is a must-read for professionals in Bioinformatics.
Reviewed on November 24, 2025