Overview
- Provides the foundation to design, execute, and interpret data analysis tools in biomedical research
- Covers mathematical background and practical applications
- Key resource for students and researchers focused on systems biology and drug design/discovery
Part of the book series: Techniques in Life Science and Biomedicine for the Non-Expert (TLSBNE)
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Table of contents (9 chapters)
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Front Matter
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Biological Networks and Graph Theory
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Front Matter
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Calculus and Chemical Reactions
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Front Matter
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Linear Algebra and Modelling
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Front Matter
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Back Matter
Keywords
About this book
Authors and Affiliations
About the authors
Bruno Carpentieri, Associate Professor, Faculty of Engineering, Free University of Bozen-Balzano, Italy
Bibliographic Information
Book Title: Introduction to Mathematics for Computational Biology
Authors: Paola Lecca, Bruno Carpentieri
Series Title: Techniques in Life Science and Biomedicine for the Non-Expert
DOI: https://doi.org/10.1007/978-3-031-36566-9
Publisher: Springer Cham
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-36565-2Published: 13 September 2023
Softcover ISBN: 978-3-031-36568-3Due: 14 October 2023
eBook ISBN: 978-3-031-36566-9Published: 12 September 2023
Series ISSN: 2367-1114
Series E-ISSN: 2367-1122
Edition Number: 1
Number of Pages: X, 264
Number of Illustrations: 10 b/w illustrations, 30 illustrations in colour
Topics: Bioinformatics, Mathematical and Computational Biology, Biochemistry, general, Biological Techniques, Biological Techniques