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Fig. 4 | Clinical Proteomics

Fig. 4

From: OmicsOne: associate omics data with phenotypes in one-click

Fig. 4

The modules of phenotype association analysis, including phenotype associations with individual features and phenotype association with enriched pathways, applied on the proteome and glycoproteome data sets of HGSOC. A Correlation between phenotype ‘Tumor’ of pathological status and the protein expression of gene HNRNPU in all samples using the proteome data set of HGSOC. B Receiver operating characteristic (ROC) curve for regression model between Pathological Status (Tumor) ~ protein expression (HNRNPU). C The enriched KEGG (2016) pathways identified by Over-representation analysis (ORA) on the gene list of significantly up-regulated glycopeptides

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