The integration of large-scale public data and network analysis uncovers molecular characteristics of psoriasis

HIGHLIGHTS

SUMMARY

    Although, for instance, Piruzian and colleagues report the results of an integrated meta-analysis of both protein and gene_expression datasets (and, therefore, integrating different data types), they still summarize the results of single datasets. Graph theory provides effective models to uncover the relevant gene-gene_expression relationships both in physiological and in pathological conditions. The authors have integrated gene_expression analysis and co-expression network analysis approaches on 23 manually curated transcriptomics datasets to validate and prioritize genes that are already known to be associated with psoriasis, uncover novel genes never associated with psoriasis before, and_ . . .

     

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