Document Detail


Construction of functional linkage gene networks by data integration.
MedLine Citation:
PMID:  23192549     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
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.
Authors:
Bolan Linghu; Eric A Franzosa; Yu Xia
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Methods in molecular biology (Clifton, N.J.)     Volume:  939     ISSN:  1940-6029     ISO Abbreviation:  Methods Mol. Biol.     Publication Date:  2013  
Date Detail:
Created Date:  2012-11-29     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9214969     Medline TA:  Methods Mol Biol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  215-32     Citation Subset:  IM    
Affiliation:
Biomarker Development Group, Translational Sciences Department, Novartis Institutes for BioMedical Research, Cambridge, MA, USA, bolan.linghu@novartis.com.
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