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MetaNetwork Enhances Biological Insights from Quantitative Proteomics Differences by Combining Clustering and Enrichment Analyses.

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1 Published in 2022 at "Journal of proteome research"

DOI: 10.1021/acs.jproteome.1c00756

Abstract: Interpreting proteomics data remains challenging due to the large number of proteins that are quantified by modern mass spectrometry methods. Weighted gene correlation network analysis (WGCNA) can identify groups of biologically related proteins using only… read more here.

Keywords: metanetwork enhances; insights quantitative; biological insights; metanetwork ... See more keywords