Introduction to Mathematics for Computational Biology
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Beschreibung
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 interdiscplinary research.
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.
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
Autor*in
Paola Lecca
Themen in »Introduction to Mathematics for Computational Biology«
computational mathematics bioinformatics systems bio network theory multiphysics simulations high performance computing pharmacokinetics pharmacodynamics electrophysiology linear algebra graph theory association networks biological network drug design drug discovery