Mathematical modeling of tumor heterogeneity

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Guest Editors
Dr. Kevin Flores
Department of Mathematics, North Carolina State University, Raleigh, NC, USA

Dr. Erica Rutter
Department of Applied Mathematics, University of California Merced, Merced, CA, USA

Manuscript Topics
In vivo tumors exhibit a broad range of heterogeneity, both within and across individuals. e.g., variability in space, geno- and pheno-types, and environment. This special issue aims to cover a broad range of fundamental questions about how, why, and if heterogeneity is important for cancer progression. Contributions will rely on understanding heterogeneity through the development or application of novel mathematical and statistical modeling techniques, as well as new imaging tools. We also encourage contributions that connect tumor heterogeneity to variability in treatment outcomes, including multi-treatment and adaptive treatment scenarios.

Paper Submission
All manuscripts will be peer-reviewed before their acceptance for publication.
The deadline for manuscript submission is  June 15th, 2020.

Instructions for authors
Please submit your manuscript to online submission system

Nick Henscheid
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Farinaz Forouzannia, Sivabal Sivaloganathan, Mohammad Kohandel
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Bethan Morris, Lee Curtin, Andrea Hawkins-Daarud, Matthew E. Hubbard, Ruman Rahman, Stuart J. Smith, Dorothee Auer, Nhan L. Tran, Leland S. Hu, Jennifer M. Eschbacher, Kris A. Smith, Ashley Stokes, Kristin R. Swanson, Markus R. Owen
+ Abstract     + HTML     + PDF(2722 KB)
Rebecca Everett, Kevin B. Flores, Nick Henscheid, John Lagergren, Kamila Larripa, Ding Li, John T. Nardini, Phuong T. T. Nguyen, E. Bruce Pitman, Erica M. Rutter
+ Abstract     + HTML     + PDF(2730 KB)
Taeyong Lee, Adrianne L. Jenner, Peter S. Kim, Jeehyun Lee
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