Mathematics and Life Sciences / / ed. by Alexandra V. Antoniouk, Roderick V. N. Melnik.

The book provides a unique collection of in-depth mathematical, statistical, and modeling methods and techniques for life sciences, as well as their applications in a number of areas within life sciences. The book provides also with a range of new ideas that represent emerging frontiers in life scie...

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter DGBA Backlist Complete English Language 2000-2014 PART1
MitwirkendeR:
HerausgeberIn:
Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2012]
©2013
Year of Publication:2012
Language:English
Series:De Gruyter Series in Mathematics and Life Sciences , 1
Online Access:
Physical Description:1 online resource (316 p.)
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Table of Contents:
  • Frontmatter
  • Preface
  • Contents
  • 1 Introduction
  • 1.1 Scientific Frontiers at the Interface of Mathematics and Life Sciences
  • 2 Mathematical and Statistical Modeling of Biological Systems
  • 2.1 Ensemble Modeling of Biological Systems
  • 3 Probabilistic Models for Nonlinear Processes and Biological Dynamics
  • 3.1 Nonlinear Lévy and Nonlinear Feller Processes: an Analytic Introduction
  • 4 New Results in Mathematical Epidemiology and Modeling Dynamics of Infectious Diseases
  • 4.1 Formal Solutions of Epidemic Equation
  • 5 Mathematical Analysis of PDE-based Models and Applications in Cell Biology
  • 5.1 Asymptotic Analysis of the Dirichlet Spectral Problems in Thin Perforated Domains with Rapidly Varying Thickness and Different Limit Dimensions
  • 6 Axiomatic Modeling in Life Sciences with Case Studies for Virus-immune System and Oncolytic Virus Dynamics
  • 6.1 AxiomaticModeling in Life Sciences
  • 7 Theory, Applications, and Control of Nonlinear PDEs in Life Sciences
  • 7.1 On One Semilinear Parabolic Equation of Normal Type
  • 7.2 On some Classes of Nonlinear Equations with L1-Data
  • 8 Mathematical Models of Pattern Formation and Their Applications in Developmental Biology
  • 8.1 Reaction-Diffusion Models of Pattern Formation in Developmental Biology
  • 9 Modeling the Dynamics of Genetic Mechanism, Pattern Formation, and the Genetics of “Geometry”
  • 9.1 Modeling the Positioning of Trichomes on the Leaves of Plants
  • 10 Statistical Modeling in Life Sciences and Direct Measurements
  • 10.1 Error Estimation for Direct Measurements in May–June 1986 of 131I Radioactivity in Thyroid Gland of Children and Adolescents and Their Registration in Risk Analysis
  • 11 Design and Development of Experiments for Life Science Applications
  • 11.1 Physiological Effects of Static Magnetic Field Exposure in an in vivo Acute Visceral Pain Model in Mice
  • 12 Mathematical Biomedicine and Modeling Avascular Tumor Growth
  • 12.1 Continuum Models of Avascular Tumor Growth
  • Index