FROM THE BOOK CATALOGUEComputational Biology
Introduction to Computational Cancer Biology
Explore how computational methods are transforming cancer biology and driving innovation in oncology.
WHAT THE PUBLISHER HIGHLIGHTS
- Understand how data science is applied to cancer biology.
- Learn key computational techniques used in oncology research.
- Explore real-world applications of bioinformatics in cancer treatment.
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Catalogue reference: d8d772fd74dc34fc
INSIDE THE BOOK
About this book
Cancer is one of the most complex diseases known to science, and understanding it requires more than biology alone. This book introduces readers to the powerful role of computational techniques in cancer research. From modeling tumor growth and analyzing genomic data to applying machine learning for diagnosis and treatment prediction, this guide offers a comprehensive overview of the tools and technologies reshaping oncology. Designed for students, researchers, and clinicians, it bridges the gap between biological insight and computational power.
From the publisher’s description
- Understand how data science is applied to cancer biology.
- Learn key computational techniques used in oncology research.
- Explore real-world applications of bioinformatics in cancer treatment.
- Gain insights into the future of personalized medicine.
