Journal
SCIENTIFIC REPORTS
Volume 4, Issue -, Pages -Publisher
NATURE PORTFOLIO
DOI: 10.1038/srep05112
Keywords
-
Categories
Funding
- Instituto Nacional de Investigacin y Tecnologa Agraria y Alimentaria (INIA) [2012-0008-C01]
- Spanish Ministry of Science and Innovation [BIO2010-14871]
- MERIT [ITN2010-264474]
Ask authors/readers for more resources
We introduce a novel method to represent time independent, scalar data sets as complex networks. We apply our method to investigate gene expression in the response to osmotic stress of Arabidopsis thaliana. In the proposed network representation, the most important genes for the plant response turn out to be the nodes with highest centrality in appropriately reconstructed networks. We also performed a target experiment, in which the predicted genes were artificially induced one by one, and the growth of the corresponding phenotypes compared to that of the wild-type. The joint application of the network reconstruction method and of the in vivo experiments allowed identifying 15 previously unknown key genes, and provided models of their mutual relationships. This novel representation extends the use of graph theory to data sets hitherto considered outside of the realm of its application, vastly simplifying the characterization of their underlying structure.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available