Linghu, B, Franzosa, EA and Xia, Y (2013) Construction of functional linkage gene networks by data integration. Data Mining for Systems Biology: Methods and Protocols. pp. 215-232.

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. 2013 Springer Science+Business Media New York

Item Type:	Article
Additional Information:	pubid: 54 nvp_institute: NIBR contributor_address: (Linghu) Biomarker Development Group, Translational Sciences Department, Novartis Institutes for BioMedical Research, Cambridge, MA, United States (Franzosa, Xia) Bioinformatics Program, Boston University, Boston, MA, United States
Date Deposited:	13 Oct 2015 13:13
Last Modified:	13 Oct 2015 13:13
URI:	https://oak.novartis.com/id/eprint/21902