A network biology workflow to study transcriptomics data of the diabetic liver
The described network biology workflow uses state-of-the-art pathway and network analysis methods to study the rewiring of the diabetic liver. The integration of experimental data and knowledge on disease-affected biological pathways, including regulatory elements like transcription factors or drugs, leads to improved insights and a clearer illustration of the overall process. It also provides a resource for building new hypotheses for further follow-up studies. The approach is highly generic and can be applied in different research fields.
Keywords: Biological networks, Network Visualization
Contributors: Susan Coort, Martina Kutmon, Chris Evelo