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Using mathematics to understand biol...

Segal, Rebecca.

Using mathematics to understand biological complexityfrom cells to populations /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Using mathematics to understand biological complexityedited by Rebecca Segal, Blerta Shtylla, Suzanne Sindi.
Reminder of title:	from cells to populations /
other author:	Segal, Rebecca.
Published:	Cham :Springer International Publishing :2021.
Description:	v, 216 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Biomathematics.
Online resource:	https://doi.org/10.1007/978-3-030-57129-0
ISBN:	9783030571290$q(electronic bk.)

Using mathematics to understand biological complexityfrom cells to populations /
Using mathematics to understand biological complexityfrom cells to populations /[electronic resource] :edited by Rebecca Segal, Blerta Shtylla, Suzanne Sindi. - Cham :Springer International Publishing :2021. - v, 216 p. :ill. (some col.), digital ;24 cm. - Association for women in mathematics series,v.222364-5733 ;. - Association for women in mathematics series ;v.1..

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.

ISBN: 9783030571290$q(electronic bk.)

Standard No.: 10.1007/978-3-030-57129-0doiSubjects--Topical Terms:

212374
Biomathematics.

LC Class. No.: QH323.5

Dewey Class. No.: 570.151

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520 $a 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.
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