Using Mathematics to Understand Biological Complexity: From Cells to Populations

Author:   Rebecca Segal ,  Blerta Shtylla ,  Suzanne Sindi
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   22
ISBN:  

9783030571313


Pages:   216
Publication Date:   31 December 2021
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Using Mathematics to Understand Biological Complexity: From Cells to Populations


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Author:   Rebecca Segal ,  Blerta Shtylla ,  Suzanne Sindi
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   22
Weight:   0.349kg
ISBN:  

9783030571313


ISBN 10:   3030571319
Pages:   216
Publication Date:   31 December 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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).

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Author Information

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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