Using Mathematics to Understand Biological Complexity: From Cells to Populations
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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Using Mathematics to Understand Biological Complexity: From Cells to Populations
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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Using Mathematics to Understand Biological Complexity: From Cells to Populations
216Using Mathematics to Understand Biological Complexity: From Cells to Populations
216Hardcover(1st ed. 2021)
$54.99
54.99
In Stock
Product Details
ISBN-13: | 9783030571283 |
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Publisher: | Springer International Publishing |
Publication date: | 12/30/2020 |
Series: | Association for Women in Mathematics Series , #22 |
Edition description: | 1st ed. 2021 |
Pages: | 216 |
Product dimensions: | 6.10(w) x 9.25(h) x (d) |
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