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.
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Hofree et al. Network-based stratification of tumor mutations.
Nature Methods 2013, 10,1108–1115.
Tain et al. A proteomic atlas of insulin signalling reveals tissue-specific mechanisms of longevity assurance.
Molecular Systems Biology, 13(9), September 2017