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Integration of multiple data sources to prioritize candidate genes using discounted rating system

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Integration of multiple data sources to prioritize candidate genes using discounted rating system

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dc.contributor.author Li, Yongjin
dc.contributor.author Patra, Jagdish Chandra
dc.date.accessioned 2011-09-21T03:55:50Z
dc.date.available 2011-09-21T03:55:50Z
dc.date.copyright 2010
dc.date.issued 2011-09-21
dc.identifier.citation Li, Y., & Patra, J. C. (2010). Integration of multiple data sources to prioritize candidate genes using discounted rating system. BMC Bioinformatics, 11(Suppl 1), S20.
dc.identifier.issn 1471-2105
dc.identifier.uri http://hdl.handle.net/10220/7087
dc.description.abstract Identifying disease gene from a list of candidate genes is an important task in bioinformatics. The main strategy is to prioritize candidate genes based on their similarity to known disease genes. Most of existing gene prioritization methods access only one genomic data source, which is noisy and incomplete. Thus, there is a need for the integration of multiple data sources containing different information. In this paper, we proposed a combination strategy, called discounted rating system (DRS). We performed leave one out cross validation to compare it with N-dimensional order statistics (NDOS) used in Endeavour. Results showed that the AUC (Area Under the Curve) values achieved by DRS were comparable with NDOS on most of the disease families. But DRS worked much faster than NDOS, especially when the number of data sources increases. When there are 100 candidate genes and 20 data sources, DRS works more than 180 times faster than NDOS. In the framework of DRS, we give different weights for different data sources. The weighted DRS achieved significantly higher AUC values than NDOS. The proposed DRS algorithm is a powerful and effective framework for candidate gene prioritization. If weights of different data sources are proper given, the DRS algorithm will perform better.
dc.format.extent 10 p.
dc.language.iso en
dc.relation.ispartofseries BMC bioinformatics
dc.rights © 2010 Li and Patra.
dc.subject DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences.
dc.title Integration of multiple data sources to prioritize candidate genes using discounted rating system
dc.type Journal Article
dc.contributor.school School of Computer Engineering
dc.identifier.doi http://dx.doi.org/10.1186/1471-2105-11-S1-S20
dc.description.version Published version
dc.identifier.rims 152418

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