An introduction to the quantitative modeling of biological processes, presenting modeling approaches, methodology, practical algorithms, software tools, and examples of current research.
His current research focuses on the modeling of biological networks.
Ding F., Dokholyan, N. V. in Computational Modeling of Biological Systems (Springer, Berlin, 2012).
The main requirements are quantitative experiments, rigorous data analysis, and/or mathematical and computational modeling of biological processes.
Khalfaoui works within the Statistical Machine Learning and Modeling of Biological Systems group directed by Jean-Philippe Vert.
He heads a research group that specializes in the analysis and modeling of biological networks, and their applications to medicine.
A central challenge in computational modeling of biological systems is the determination of the model parameters.
After recalling the background of electrical measurements principle and electrical modeling of biological tissues, the proposed measurement procedure is illustrated.
However, mathematical modeling of biological systems does overlap with computational biology, particularly where simulation for purposes of prediction or hypothesis generation is a key element of the model.
Our approach can be readily adapted to other imaging modalities and forms a starting point for further steps of data analytics and modeling of biological dynamics.
The quantitative modeling of biological processes promises to expand biological research from a science of observation and discovery to one of rigorous prediction and quantitative analysis.
