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EnrichNet: network-based gene set enrichment analysis

by: Enrico Glaab, Anaïs Baudot, Natalio Krasnogor, Reinhard Schneider, Alfonso Valencia
Bioinformatics, Vol. 28, No. 18. (15 September 2012), pp. i451-i457, doi:10.1093/bioinformatics/bts389  Key: citeulike:11201434

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Abstract

Motivation: Assessing functional associations between an experimentally derived gene or protein set of interest and a database of known gene/protein sets is a common task in the analysis of large-scale functional genomics data. For this purpose, a frequently used approach is to apply an over-representation-based enrichment analysis. However, this approach has four drawbacks: (i) it can only score functional associations of overlapping gene/proteins sets; (ii) it disregards genes with missing annotations; (iii) it does not take into account the network structure of physical interactions between the gene/protein sets of interest and (iv) tissue-specific gene/protein set associations cannot be recognized.


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