Daniel N. Mohsenizadeh

Learn More
Most dynamical models for genomic networks are built upon two current methodologies, one process-based and the other based on Boolean-type networks. Both are problematic when it comes to experimental design purposes in the laboratory. The first approach requires a comprehensive knowledge of the parameters involved in all biological processes a priori,(More)
In systems biology, network models are often used as a promising tool to study interactions among cellular components (e.g., genes or proteins). However, these models are typically too complex and biological data is very limited which leads to model uncertainty. Network dynamics involves the evolution of entities over time which is central in developing(More)
  • 1