國家衛生研究院 NHRI:Item 3990099045/7567

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Title:	PUPPI: A pathway analysis method using protein-protein interaction network for case-control data
Authors:	Chung, RH
Contributors:	Division of Biostatistics and Bioinformatics
Abstract:	The development of statistical pathway analysis methods has focused on testing individual main effects of genes in a pathway on disease. However, gene-gene interactions can also play an important role in complex disease etiology. We developed a pathway analysis method based on a protein-protein interaction network to account for gene-gene interactions in a pathway. We used simulations to evaluate the type I error and power for the method. Our simulation results suggest that the method has correct type I error rates, and can be powerful in the identification of the effects of gene-gene interaction in pathways under different scenarios. The method has been implemented into an efficient software package with C++.
Date:	2013-04
Relation:	2013 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). 2013 Apr:238-241.
Link to:	http://dx.doi.org/10.1109/cibcb.2013.6595415
Cited Times(WOS):	https://www.webofscience.com/wos/woscc/full-record/WOS:000333898800035
Cited Times(Scopus):	http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84885085502
Appears in Collections:	[Ren-Hua Chung] Conference Papers/Meeting Abstract

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