Using Mathematics to Understand Biological Complexity

Released on by Rebecca Segal
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  • Using Mathematics to Understand Biological Complexity Book Detail

  • Author : Rebecca Segal
  • Release Date : 2020-12-29
  • Publisher : Springer Nature
  • Genre : Mathematics
  • Pages : 221
  • ISBN 13 : 3030571297
  • File Size : 55,55 MB
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Using Mathematics to Understand Biological Complexity by Rebecca Segal PDF Summary

Book Description: 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.

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Mathematical Modeling in Systems Biology

Mathematical Modeling in Systems Biology

File Size : 57,57 MB
Total View : 3760 Views
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An introduction to the mathematical concepts and techniques needed for the construction and analysis of models in molecular systems biology. Systems techniques