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

Focuses on practical implementation strategies alongside theoretical foundations.

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
V. Jefferson

"Well-researched and thoughtfully presented. A true gem in its category."

Reviewer
Fatima H.

"The writing style is engaging and the examples are relevant. I learned a lot and enjoyed the process."

Reviewer
Jules Kim

"I appreciated the real-world applications. It’s not just theory—it’s practical and relevant."

Book Details

Publisher: Knowledge Press

Language: English

Pages: 549

Dimensions: 6 x 0.8 x 9 inches

Weight: 2.1 pounds

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