Using Mathematics to Understand Biological Complexity | From Cells to Populations
Rebecca Segal (u. a.)
ISBN 10: 3030571319 ISBN 13: 9783030571313
Editorial: Springer, 2021
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Descripción
Descripción:
Using Mathematics to Understand Biological Complexity | From Cells to Populations | Rebecca Segal (u. a.) | Taschenbuch | Association for Women in Mathematics Series | vi | Englisch | 2021 | Springer | EAN 9783030571313 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de ref. del artículo 120909677
Sinopsis:
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.
Acerca del autor:
Rebecca Segal is Associate Professor at the Department of Mathematics and Applied Mathematics at Virginia Commonwealth University, USA. She holds a PhD in Applied Mathematics from the North Carolina State University.
Blerta Shtylla is Assistant Professor at the Department of Mathematics at Pomona College. She holds a PhD in Mathematics from the University of Utah.
Suzanne Sindi is Associate Professor at the Department of Applied Mathematics at University of California, Merced. She holds a PhD in Mathematics from the University of Maryland, College Park.
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Detalles bibliográficos
Título: Using Mathematics to Understand Biological ...
Editorial: Springer
Año de publicación: 2021
Encuadernación: Taschenbuch
Condición: Neu