Systems biology: mathematical modeling and model analysis

Mathematical modeling: epidemiology meets systems biology.

This issue of Cancer Epidemiology, Biomarkers, and Prevention includes a study on mathematical modeling of biological processes. Sokhansanj and Wilson describe a mathematical model that mimics the kinetics of base excision repair and thus permits them to investigate in silico the effects of genetic variation in this important DNA repair pathway (1). Why should epidemiologists have interest in t...

Mathematical modeling and synthetic biology.

Synthetic biology is an engineering discipline that builds on our mechanistic understanding of molecular biology to program microbes to carry out new functions. Such predictable manipulation of a cell requires modeling and experimental techniques to work together. The modeling component of synthetic biology allows one to design biological circuits and analyze its expected behavior. The experime...

Mathematical and Statistical Modeling in Cancer Systems Biology

Cancer is a major health problem with high mortality rates. In the post-genome era, investigators have access to massive amounts of rapidly accumulating high-throughput data in publicly available databases, some of which are exclusively devoted to housing Cancer data. However, data interpretation efforts have not kept pace with data collection, and gained knowledge is not necessarily translatin...

Mathematical Modeling for Volatile Organic Compounds Removal in a Biofilter: Model Validation and Sensitivity Analysis

Mathematical Modeling in Biology: Philosophy and Pragmatics

uniFication Unification involves the integration and synthesis of disparate types of evidence and models. For instance, Darwin unified hybridization, developmental, paleontological, and biogeographical data under a single theory. in mathematical modeling, unification often entails embedding – a subsumption relation allowing for the unification of (i) various mathematical theories/ models and (i...