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Interactional and functional centrality in transcriptional co-expression networks

by: Edi Prifti, Jean-Daniel Zucker, Karine Clément, Corneliu Henegar
Bioinformatics, Vol. 26, No. 24. (15 December 2010), pp. 3083-3089, doi:10.1093/bioinformatics/btq591  Key: citeulike:8123547

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Abstract

Motivation: The noisy nature of transcriptomic data hinders the biological relevance of conventional network centrality measures, often used to select gene candidates in co-expression networks. Therefore, new tools and methods are required to improve the prediction of mechanistically important transcriptional targets.


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