Introduction to Mathematics for Computational Biology

This introductory guide provides a thorough explanation of the mathematics and algorithms used in standard data analysis techniques within systems biology, biochemistry, and biophysics. Each part of the book covers the mathematical background and practical applications of a given technique. Readers will gain an understanding of the mathematical and algorithmic steps needed to use these software tools appropriately and effectively, as well how to assess their specific circumstance and choose the optimal method and technology. Ideal for students planning for a career in research, early-career researchers, and established scientists undertaking interdisciplinary research. 

List of contents

1. Introduction to graph theory.- 2. Biological networks.- 3. Network inference for drug discovery- 4. Introduction to differential and integral calculus.- 5. Modelling chemical reactions.- 6. Reaction-diffusion systems.- 7. Linear algebra background.- 8. Regression.- 9. Cardiac electrophysiology.- 

Product details

• Authors: Bruno Carpentieri, Paola Lecca
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 14.09.2024
• EAN: 9783031365683
• ISBN: 978-3-0-3136568-3
• No. of pages: 264
• Dimensions: 155 mm x 15 mm x 235 mm
• Weight: 423 g
• Illustrations: X, 264 p. 40 illus., 30 illus. in color.
• Series: Techniques in Life Science and Biomedicine for the Non-Expert
• Subject: Natural sciences, medicine, IT, technology > Biology > Miscellaneous