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• W3040025997 abstract "Abstract The non-random interaction pattern of a protein–protein interaction network (PIN) is biologically informative, but its potentials have not been fully utilized in omics studies. Here, we propose a network-permutation-based association study (NetPAS) method that gauges the observed interactions between two sets of genes based on the comparison between permutation null models and the empirical networks. This enables NetPAS to evaluate relationships, constrained by network topology, between gene sets related to different phenotypes. We demonstrated the utility of NetPAS in 50 well-curated gene sets and comparison of association studies using Z-scores, modified Zʹ-scores, p-values and Jaccard indices. Using NetPAS, a weighted human disease network was generated from the association scores of 19 gene sets from OMIM. We also applied NetPAS in gene sets derived from gene ontology and pathway annotations and showed that NetPAS uncovered functional terms missed by DAVID and WebGestalt. Overall, we show that NetPAS can take topological constraints of molecular networks into account and offer new perspectives than existing methods." @default.
• W3040025997 created "2020-07-10" @default.
• W3040025997 creator A5042897875 @default.
• W3040025997 creator A5063211322 @default.
• W3040025997 date "2020-07-01" @default.
• W3040025997 modified "2023-09-24" @default.
• W3040025997 title "Association study based on topological constraints of protein–protein interaction networks" @default.
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• W3040025997 doi "https://doi.org/10.1038/s41598-020-67875-w" @default.
• W3040025997 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7329836" @default.
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