Using Mathematics to Understand Biological Complexity
eBook - ePub

Using Mathematics to Understand Biological Complexity

From Cells to Populations

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Using Mathematics to Understand Biological Complexity

From Cells to Populations

About this book

This volume tackles a variety of biological and medical questions using mathematical models to understand complex system dynamics. Working in collaborative teams of six, each with a senior research mentor, researchers developed new mathematical models to address questions in a range of application areas. Topics include retinal degeneration, biopolymer dynamics, the topological structure of DNA, ensemble analysis, multidrug-resistant organisms, tumor growth modeling, and geospatial modeling of malaria. The work is the result of newly formed collaborative groups begun during the Collaborative Workshop for Women in Mathematical Biology hosted by the Institute of Pure and Applied Mathematics at UCLA in June 2019. Previous workshops in this series have occurred at IMA, NIMBioS, and MBI.

Information

Publisher
Springer
Year
2020
Print ISBN
9783030571283
eBook ISBN
9783030571290

Table of contents

  1. Cover
  2. Front Matter
  3. Collaborative Workshop for Women in Mathematical Biology
  4. Connecting Actin Polymer Dynamics Across Multiple Scales
  5. Modeling RNA:DNA Hybrids with Formal Grammars
  6. Secondary Structure Ensemble Analysis via Community Detection
  7. How Do Interventions Impact Malaria Dynamics Between Neighboring Countries? A Case Study with Botswana and Zimbabwe
  8. Investigating the Impact of Combination Phage and Antibiotic Therapy: A Modeling Study
  9. Mathematical Modeling of Retinal Degeneration: Aerobic Glycolysis in a Single Cone
  10. A Framework for Performing Data-Driven Modeling of Tumor Growth with Radiotherapy Treatment
  11. Correction to: Investigating the Impact of Combination Phage and Antibiotic Therapy: A Modeling Study

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Yes, you can access Using Mathematics to Understand Biological Complexity by Rebecca Segal,Blerta Shtylla,Suzanne Sindi in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over 1.5 million books available in our catalogue for you to explore.