Introduction to Computational Cancer Biology

Introduction to Computational Cancer Biology

4.2 out of 5 | 472 ratings
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

Introduction to Computational Cancer Biology is a comprehensive guide that explores the fascinating world of Computational Biology, Cancer Research, Bioinformatics. Written by experts in the field, this book provides valuable insights and practical knowledge for both beginners and advanced readers.

  • ISBN: 9798273100732
  • Publication Date: October 20, 2025
  • Categories: Computational Biology, Cancer Research, Bioinformatics, Medical Data Science, Precision Medicine
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Book Description

Introduction to Computational Cancer Biology is a groundbreaking work that delves deep into the subject of Bioinformatics. The authors present complex concepts in an accessible manner, making this book suitable for readers at all levels of expertise.

Key Features:
  • Comprehensive coverage of Personalized Medicine and related topics
  • Practical examples and real-world applications
  • Step-by-step guides for implementing techniques
  • Insights from industry experts and practitioners
  • Exercises and challenges to test your understanding
Who Should Read This Book?

This book is perfect for anyone interested in Computational Biology, Cancer Research, Bioinformatics. Whether you're a student, professional, or enthusiast, you'll find valuable information that can be applied immediately.

Customer Reviews
4.5 out of 5
60 global ratings
William Nguyen
William Nguyen
August 1, 2025

As a beginner in this field, I found Introduction to Computational Cancer Biology to be incredibly helpful. The learning curve was just right, and I never felt overwhelmed. The chapters on Oncology were particularly well-structured. Highly recommended for newcomers!

My rating: 4 out of 5 stars

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Nora Williams
Nora Williams
July 27, 2025

I purchased Introduction to Computational Cancer Biology based on a friend's recommendation, and I'm so glad I did. The insights on Cancer Genomics have transformed how I approach my projects. It's rare to find a book that's both informative and enjoyable to read.

My rating: 5 out of 5 stars

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Olivia Thomas
Olivia Thomas
November 10, 2025

I absolutely loved Introduction to Computational Cancer Biology! As someone who's been in the field for years, I can confidently say this is one of the best resources available. The author's approach to Precision Medicine is both innovative and practical. I've already recommended it to all my colleagues.

My rating: 3 out of 5 stars

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Sebastian Clark
Sebastian Clark
December 1, 2025

I completely agree with this review! Introduction to Computational Cancer Biology really changed my perspective on Systems Biology.

Isabella Moore
Isabella Moore
December 7, 2025

I completely agree with this review! Introduction to Computational Cancer Biology really changed my perspective on Oncology.

Lily Miller
Lily Miller
December 1, 2025

I completely agree with this review! Introduction to Computational Cancer Biology really changed my perspective on Cancer Genomics.

Charlotte Ramirez
Charlotte Ramirez
September 26, 2025

I absolutely loved Introduction to Computational Cancer Biology! As someone who's been in the field for years, I can confidently say this is one of the best resources available. The author's approach to Systems Biology is both innovative and practical. I've already recommended it to all my colleagues.

My rating: 5 out of 5 stars

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Lucas Flores
Lucas Flores
October 6, 2025

I completely agree with this review! Introduction to Computational Cancer Biology really changed my perspective on Machine Learning.

Scarlett Robinson
Scarlett Robinson
October 7, 2025

I completely agree with this review! Introduction to Computational Cancer Biology really changed my perspective on Cancer Research.

Ava Garcia
Ava Garcia
September 29, 2025

I completely agree with this review! Introduction to Computational Cancer Biology really changed my perspective on Computational Biology.

Ava Ramirez
Ava Ramirez
May 14, 2025

After reading Introduction to Computational Cancer Biology, I feel like I've gained years of experience overnight. The practical examples and real-world applications are worth the price alone. If you're interested in Systems Biology, this book is a must-read.

My rating: 5 out of 5 stars

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Daniel Sanchez
Daniel Sanchez
June 8, 2025

I completely agree with this review! Introduction to Computational Cancer Biology really changed my perspective on Cancer Research.

Discussion Forum
Michael Brown
Michael Brown
July 12, 2025

I purchased Introduction to Computational Cancer Biology based on a friend's recommendation, and I'm so glad I did. The insights on Cancer Genomics have transformed how I approach my projects. It's rare to find a book that's both informative and enjoyable to read.

My rating: 5 out of 5 stars

Ethan Wilson
Ethan Wilson
August 6, 2025

I purchased Introduction to Computational Cancer Biology based on a friend's recommendation, and I'm so glad I did. The insights on Data Science have transformed how I approach my projects. It's rare to find a book that's both informative and enjoyable to read.

My rating: 4 out of 5 stars

Evelyn Brown
Evelyn Brown
April 28, 2025

I absolutely loved Introduction to Computational Cancer Biology! As someone who's been in the field for years, I can confidently say this is one of the best resources available. The author's approach to Computational Biology is both innovative and practical. I've already recommended it to all my colleagues.

My rating: 4 out of 5 stars

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About the Author
Author
Author

A renowned expert in Precision Medicine with over 21 years of experience. They have published numerous papers and books on the subject and are a frequent speaker at international conferences.

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Reader Statistics
Customer Ratings
5 star
63%
4 star
15%
3 star
6%
2 star
4%
1 star
2%
Reader Demographics
  • Professional 74%
  • Student 28%
  • Enthusiast 20%