A combined statistical and in silico framework for analysis and characterization of microbial and mammalian metabolic networks

Abstract

With the advances in new experimental technologies, high throughput experimental data are generated for understanding microbial and mammalian cell culture processes. These data need proper handling in order to extract useful information and statistical analysis techniques are often applied to derive such biologically important results. However, these observations do not provide any insights into the organismb