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Introduction to Mathematics for Computational Biology - Paola Lecca, Bruno Carpentieri

Introduction to Mathematics for Computational Biology

Buch | Hardcover
X, 264 Seiten
2023 | 2023
Springer International Publishing (Verlag)
978-3-031-36565-2 (ISBN)
CHF 194,70 inkl. MwSt
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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. 

Paola Lecca, Assistant Professor, Faculty of Engineering, Free University of Bozen-Bolzano, ItalyBruno Carpentieri, Associate Professor, Faculty of Engineering, Free University of Bozen-Balzano, Italy

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.- 

Erscheinungsdatum
Reihe/Serie Techniques in Life Science and Biomedicine for the Non-Expert
Zusatzinfo X, 264 p. 40 illus., 30 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 582 g
Themenwelt Naturwissenschaften Biologie Biochemie
Schlagworte association networks • Bioinformatics • biological netowrk • Biological Network • computational mathematics • drug design • drug discovery • electrophysiology • graph theory • High Performance Computing • linear algebra • molecular screening • Multiphysics simulations • Network Theory • Pharmacodynamics • Pharmacokinetics • systems bio
ISBN-10 3-031-36565-8 / 3031365658
ISBN-13 978-3-031-36565-2 / 9783031365652
Zustand Neuware
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