Editorial to the Special Issue on computational systems biology

Computational systems biology has integrated many levels of biological information derived from high-throughput biological experiments to understand biological systems function at a systems level. The research of systems biology generates mechanism models of biological systems such as the reconstruction of dynamic systems from quantitative properties of their biological building blocks. Sophisticated numerical and computational techniques are deployed to provide large number of parameters, variables, ad constraints in the cellular networks. Recent advances are made in the use of imaging-based biomarkers for detection of diseases, disease severity, monitoring its progression, and treatment efficacy for delivery of new affordable drugs and therapeutic agents. Other emerging areas include single nucleotide polymorphism array, promoter array, tissue array, and protein array that have become tools for in-vitro studies.