Detecting False Positive Interactions in Protein-Protein Interaction Data

Azizi, Masoud and Zahiri, Javad and Rafeh, Reza and Eslami, Morteza Detecting False Positive Interactions in Protein-Protein Interaction Data. The 5th Iranian Conference on Bioinformatics, Tehran, Iran, 20-22 May 2014.

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Official URL: https://icb5.ut.ac.ir/paper?manu=12893

Abstract or Summary

High-throughput experimental techniques, such as mass spectrometry and yeast two-hybrid assay, provided an extensive list of protein-protein interactions (PPIs) that control the biological processes in for various organisms. Although these experimental approaches produce crucially valuable data, they sufferfrom high false positives results.In this paper, we proposed a new method to detect false positive interactions. Our method usesinteraction generality andK-path ratio as two topological features of the protein-protein interaction networks, which extracted from high quality data, to detect false positive interactions. The results reveal that proposed method can effectively detect false positive interactions in highthroughput PPI data.

Item Type:Paper presented at a conference, workshop or other event, and published in the proceedings
Keywords that describe the item: protein-protein interaction; biological network; topological properties; false-positive interaction
Subjects:Q Science > Q Science (General)
Q Science > QA Mathematics > QA76 Computer software
Divisions:Schools > Centre for Business, Information Technology and Enterprise > School of Information Technology
ID Code:5137
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Deposited On:11 Jan 2017 02:47
Last Modified:11 Jan 2017 02:47

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