Journal Browser
Volume | Year
Issue
Search
News and Announcements
View All

Biological Mathematical Analysis of Cancer

Submission deadline: 28 February 2025
Special Issue Editors
Ophir Nave
Department of Mathematics, Jerusalem College of Technology, Israel
Interests: mathematical models of cancer, asymptotic analysis, method of integral invariant manifold
Special Issue Information

The Special Issue aims to publish papers that provide new concepts, ideas, insight, or new understanding of biological systems using a mathematical model. The mathematical models can be of a theoretical or practical nature.

In order to study models in the natural sciences, various methods of mathematics can be applied, such as moving beyond a dimensionless model and using symmetry, various asymptotic methods, numerical methods, system decomposition methods providing a fast system and a slow subsystem, approximation by columns, use of beads and more. We are interested in mathematical models implemented to analyze the phenomenon under investigation in order to advance science and discover new phenomena and knowledge.

Papers submitted to the journal should provide a deep, biological insight as a result of mathematical analysis using numerical analysis by new algorithms. The papers should identify and open up challenging new types of mathematical problems that are derived from biological knowledge.

 
Manuscript Submission Information

Author registration and submission: https://mc03.manuscriptcentral.com/jbiolmethods. Please submit your paper along with a cover letter including the special issue title. Your paper will undergo a fair peer review and be published immediately after acceptance and will be available to an international audience.

Keywords
Mathematical models of cancer
Asymptotic analysis
Method of integral invariant manifold
Fixed point
Numerical analysis
Singular perturbed system (SPVF)
Gradient algorithms
Ordinary differential equations
Partial differential equations
Perturbation theory and applications
Back to top
Journal of Biological Methods, Electronic ISSN: 2326-9901 Print ISSN: TAB, Published by POL Scientific