Introduction to Computational Cancer Biology
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Introduction to Computational Cancer Biology

Editor's Choice Bestseller New Release

ISBN: 9798273100732

Publication Date: October 20, 2025

Rating: 4.5/5 (250+ reviews)

About This Book

Technically rigorous and logically organized, this book supports both foundational learning and advanced exploration.

Key Topics

Computational BiologyCancer ResearchBioinformaticsOncologyData ScienceGenomicsSystems BiologyMachine LearningPrecision MedicineMedical Data AnalysisCancer GenomicsPersonalized Medicine

Book Description

This comprehensive guide delves deep into the subject matter, providing readers with both theoretical foundations and practical applications. The author's engaging writing style makes complex concepts accessible to readers of all backgrounds.

What You'll Learn
  • Fundamental principles and advanced techniques
  • Real-world applications and case studies
  • Strategies for implementing these ideas in your work
  • Future trends and developments in the field

Whether you're a beginner looking to get started or an experienced professional seeking to deepen your knowledge, this book offers valuable insights that you can apply immediately.

Reader Reviews

Reviewer
Zara Quinn

"Empowering and informative. I feel equipped to tackle new challenges."

Reviewer
Isabelle Trent

"An outstanding resource that I’ll be returning to again and again. It’s rare to find a book this comprehensive and readable."

Reviewer
T. Smith

"Clear, concise, and incredibly useful. I wish I had read this earlier in my career."

Book Details

Publisher: Knowledge Press

Language: English

Pages: 372

Dimensions: 6 x 0.8 x 9 inches

Weight: 3.1 pounds

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