In the era of Systems Biology and growing flow of omics experimental data from high throughput techniques, experimentalists are in need of more precise pathway-based tools to unravel the inherent complexity of diseases and biological processes. Subpathway-based approaches are the emerging generation of pathway-based analysis elucidating the biological mechanisms under the perspective of local topologies onto a complex pathway network. Towards this orientation, we developed PerSub, a graph-based algorithm which detects subpathways perturbed by a complex disease. The perturbations are imprinted through differentially expressed and co-expressed subpathways as recorded by RNA-seq experiments. Our novel algorithm is applied on data obtained from a real experimental study and the identified subpathways provide biological evidence for the brain aging.
CITATION STYLE
Vrahatis, A. G., Rapti, A., Sioutas, S., & Tsakalidis, A. (2017). Persubs: A graph-based algorithm for the identification of perturbed subpathways caused by complex diseases. Advances in Experimental Medicine and Biology, 988, 215–224. https://doi.org/10.1007/978-3-319-56246-9_17
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