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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 a...
Autores principales: | , , |
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Lenguaje: | eng |
Publicado: |
Springer
2021
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-030-57129-0 http://cds.cern.ch/record/2749370 |
_version_ | 1780969043066355712 |
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author | Segal, Rebecca Shtylla, Blerta Sindi, Suzanne |
author_facet | Segal, Rebecca Shtylla, Blerta Sindi, Suzanne |
author_sort | Segal, Rebecca |
collection | CERN |
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 Woman 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. |
id | cern-2749370 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2021 |
publisher | Springer |
record_format | invenio |
spelling | cern-27493702021-04-21T16:44:01Zdoi:10.1007/978-3-030-57129-0http://cds.cern.ch/record/2749370engSegal, RebeccaShtylla, BlertaSindi, SuzanneUsing mathematics to understand biological complexity: from cells to populationsMathematical Physics and MathematicsThis 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 Woman 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.Springeroai:cds.cern.ch:27493702021 |
spellingShingle | Mathematical Physics and Mathematics Segal, Rebecca Shtylla, Blerta Sindi, Suzanne Using mathematics to understand biological complexity: from cells to populations |
title | Using mathematics to understand biological complexity: from cells to populations |
title_full | Using mathematics to understand biological complexity: from cells to populations |
title_fullStr | Using mathematics to understand biological complexity: from cells to populations |
title_full_unstemmed | Using mathematics to understand biological complexity: from cells to populations |
title_short | Using mathematics to understand biological complexity: from cells to populations |
title_sort | using mathematics to understand biological complexity: from cells to populations |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/978-3-030-57129-0 http://cds.cern.ch/record/2749370 |
work_keys_str_mv | AT segalrebecca usingmathematicstounderstandbiologicalcomplexityfromcellstopopulations AT shtyllablerta usingmathematicstounderstandbiologicalcomplexityfromcellstopopulations AT sindisuzanne usingmathematicstounderstandbiologicalcomplexityfromcellstopopulations |