Tracking disease progression by searching paths in a temporal network of biological processes.

ABSTRACT: Metabolic disorders such as obesity and diabetes are diseases which develop gradually over time through the perturbations of biological processes. These perturbed biological processes usually work in an interdependent way. Systematic experiments tracking disease progression at gene level are usually conducted through a temporal microarray data. There is a need for developing methods to analyze such highly complex data to capture disease progression at the molecular level. In the present study, we have considered temporal microarray data from an experiment conducted to study development of obesity and diabetes in mice. We first constructed a network between biological processes through common genes. We analyzed the data to obtain perturbed biological processes at each time point. Finally, w

SUBMITTER: Anand R 

PROVIDER: S-EPMC5407620 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature