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Integration of statistical models and visualization tools to characterize microRNA networks influencing cancer

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5 Author(s)
Karnia, J. ; Dept. of Animal Sci., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA ; Delfino, Kristin R. ; Villamil, M.B. ; Caetano-Anolles, G.
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Gene expression microarray experiments can be used to infer the topology of co-expression networks between genes in the immune-system pathways. Immune-system pathways are highly dimensional, including numerous gene nodes and edges connecting nodes. A bioinformatics strategy to infer and confirm gene co-expression networks was developed and applied to two major immune-system pathways. In total, 182 and 356 co-expression profiles between pairs of genes were identified in the NOD-like and B-cell receptor signaling pathways. The distinct distribution of the sign of the relationships among the pathways offered additional insights into the network.

Published in:

Bioinformatics and Biomedicine Workshops (BIBMW), 2011 IEEE International Conference on

Date of Conference:

12-15 Nov. 2011