Chapter title |
PerSubs: A Graph-Based Algorithm for the Identification of Perturbed Subpathways Caused by Complex Diseases
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Chapter number | 17 |
Book title |
GeNeDis 2016
|
Published in |
Advances in experimental medicine and biology, January 2017
|
DOI | 10.1007/978-3-319-56246-9_17 |
Pubmed ID | |
Book ISBNs |
978-3-31-956245-2, 978-3-31-956246-9
|
Authors |
Aristidis G. Vrahatis, Angeliki Rapti, Spyros Sioutas, Athanasios Tsakalidis |
Abstract |
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. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 3 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Professor | 1 | 33% |
Other | 1 | 33% |
Unknown | 1 | 33% |
Readers by discipline | Count | As % |
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Computer Science | 1 | 33% |
Unknown | 2 | 67% |