Extracting proteins involved in disease progression using temporally connected networks.

ABSTRACT:

Background

Metabolic disorders such as obesity and diabetes are diseases which develop gradually over time in an individual and through the perturbations of genes. Systematic experiments tracking disease progression at gene level are usually conducted giving a temporal microarray data. There is a need for developing methods to analyze such complex data and extract important proteins which could be involved in temporal progression of the data and hence progression of the disease.

Results

In the present study, we have considered a temporal microarray data from an experiment conducted to study development of obesity and diabetes in mice. We have used this data along with an available Protein-Protein Interaction network to find a network of interactions between proteins which re

SUBMITTER: Anand R 

PROVIDER: S-EPMC6060549 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature