Go to main content

Using mathematics to understand biological complexity : from cells to populations / Rebecca Segal, Blerta Shtylla, Suzanne Sindi, editors.

Segal, Rebecca, editor.; Shtylla, Blerta, editor.; Sindi, Suzanne, editor.
2021
QH323.5
Available Online
Formats
Format
BibTeX
MARCXML
TextMARC
MARC
DublinCore
EndNote
NLM
RefWorks
RIS
Add to Basket
Cite
Citation

Linked e-resources

Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks

Details

Title
Using mathematics to understand biological complexity : from cells to populations / Rebecca Segal, Blerta Shtylla, Suzanne Sindi, editors.
ISBN
3030571297 (electronic book)
3030571289
9783030571283
9783030571290 (electronic bk.)
DOI
https://doi.org/10.1007/978-3-030-57129-0
Published
Cham, Switzerland : Springer, [2021]
Language
English
Description
1 online resource (v, 216 pages) : illustrations (some color).
Item Number
9783030571283
10.1007/978-3-030-57129-0 doi
Call Number
QH323.5
Dewey Decimal Classification
570.1/51
Summary
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.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed February 26, 2021).
Added Author
Segal, Rebecca, editor.
Shtylla, Blerta, editor.
Sindi, Suzanne, editor.
Series
Association for Women in Mathematics Series ; volume 22.
Available in Other Form
Print version: 9783030571283
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
1. Collaborative Workshop for Women in Mathematical Biology (R. Segal, B. Shtylla, S. Sindi)
2. Connecting Actin Polymer Dynamics Across Multiple Scales (C. Copos, B. Bannish, K. Gasior, R.L. Pinals, M.W. Rostami, A.T. Dawes)
3. Modeling RNA:DNA Hybrids with Formal Grammars (N. Jonoska, N. Obatake, S. Poznanovic, C. Price, M. Riehl, M. Vazquez)
4. Secondary Structure Ensemble Analysis via Community Detection (H. Du, M.M. Ferrari, C. Heitsch, F. Hurley, C.V. Mennicke, B.D. Sullivan, and B. Xu.)- 5. How Do Interventions Impact Malaria Dynamics Between Neighboring Countries? A Case Study with Botswana and Zimbabwe (F. Agusto, A. Goldberg, O. Ortega, Joan Ponce+, Sofya Zaytseva, S. Sindi, Sally Blower)
6. Investigating the Impact of Combination Phage and Antibiotic Therapy (S. Banuelos, H. Gulbudak, M.A. Horn, Q. Huang, A. Nandi, H Ryu, R. Segal)
7. Mathematical Modeling of Retinal Degeneration (E. Camacho, A. Dobreva, K. Larripa, A. Radulescu, D. Schmidt, I. Trejo)
8. A Framework for Performing Data-Driven Modeling of Tumor Growth with Radiotherapy Treatment (H. Cho, A.L. Lewis, K.M. Storey, R. Jennings, B. Shtylla, A.M. Reynolds, H.M. Byrne).

Browse Subjects

Show more subjects...

Statistics

from
to
Export