Gábor, Iván and Grolmusz, Vince (2011) When the Web meets the cell: using personalized PageRank for analyzing protein interaction networks. BIOINFORMATICS, 27 (3). pp. 405-407. ISSN 1367-4803
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Abstract
Motivation: Enormous and constantly increasing quantity of biological information is represented in metabolic and in protein interaction network databases. Most of these data are freely accessible through large public depositories. The robust analysis of these resources needs novel technologies, being developed today. Results: Here we demonstrate a technique, originating from the PageRank computation for the World Wide Web, for analyzing large interaction networks. The method is fast, scalable and robust, and its capabilities are demonstrated on metabolic network data of the tuberculosis bacterium and the proteomics analysis of the blood of melanoma patients.
Item Type: | Article |
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Subjects: | Q Science / természettudomány > QA Mathematics / matematika > QA76 Computer software / programozás Q Science / természettudomány > QH Natural history / természetrajz > QH301 Biology / biológia |
SWORD Depositor: | MTMT SWORD |
Depositing User: | MTMT SWORD |
Date Deposited: | 03 Sep 2017 05:03 |
Last Modified: | 03 Sep 2017 05:03 |
URI: | http://real.mtak.hu/id/eprint/61373 |
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