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- Publisher
- Humana Press
- Copyright
- © Springer Science+Business Media New York 2013
- ISBN
- 978-1-62703-106-6
- Pages
- 215–232
- DOI
- 10.1007/978-1-62703-107-3_14
- Publisher site
- See Chapter on Publisher Site
Abstract
[Networks of functional associations between genes have recently been successfully used for gene function and disease-related research. A typical approach for constructing such functional linkage gene networks (FLNs) is based on the integration of diverse high-throughput functional genomics datasets. Data integration is a nontrivial task due to the heterogeneous nature of the different data sources and their variable accuracy and completeness. The presence of correlations between data sources also adds another layer of complexity to the integration process. In this chapter we discuss an approach for constructing a human FLN from data integration and a subsequent application of the FLN to novel disease gene discovery. Similar approaches can be applied to nonhuman species and other discovery tasks.]
Published: Sep 8, 2012
Keywords: Gene networks; Functional association; Data integration; Data heterogeneity; Disease gene prediction