Network propagation to identify sub-networks associated with the phenotype

Network propagation algorithm aids in inferring the altered sub-networks or signaling pathways in the given condition. The algorithm was originally developed by  Vanunu et al, 2010. We have noticed that standard network propagation suffered from gene-specific biases created by the connections in the network (‘topology bias’). For example, genes with many neighbors will generally tend to accumulate higher scores independent of the gene expression data. Therefore, we devised an improved network propagation method that corrects for this topology bias.

R-package: BioNetSmooth1.0.0

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