Fig. 6: Regression analyses with the data imputed by different methods. | Nature Communications

Fig. 6: Regression analyses with the data imputed by different methods.

From: LEOPARD: missing view completion for multi-timepoint omics data via representation disentanglement and temporal knowledge transfer

Fig. 6

a Volcano plots display age-associated metabolites detected in the \({{{\mathcal{D}}}}_{v={{\rm{v}}}2,t={{\rm{t}}}2}^{{{\rm{test}}}}\) and \({\hat{{{\mathcal{D}}}}}_{v={{\rm{v}}}2,t={{\rm{t}}}2}^{{{\rm{test}}}}\) (obsNum = 0) of the KORA metabolomics dataset (N = 417). Associations are assessed using linear regression, with P-values adjusted for multiple comparisons via the Bonferroni method. 18 significant metabolites (P < 0.05/36) identified in the observed data are shown in blue. Replicated metabolites from the data imputed by different methods are marked with labels. Solid dots represent variables where the observed and imputed data have matching signs for the estimate, while hollow dots represent mismatched signs. b Volcano plots display eGFR-associated proteins detected in the \({{{\mathcal{D}}}}_{v={{\rm{v}}}2,t={{\rm{t}}}2}^{{{\rm{test}}}}\) and \({\hat{{{\mathcal{D}}}}}_{v={{\rm{v}}}2,t={{\rm{t}}}2}^{{{\rm{test}}}}\) (obsNum = 0) of the KORA multi-omics dataset (N = 212). Associations are also tested using linear regression with Bonferroni-adjusted P values. 28 significant metabolites (P < 0.05/66) identified in the observed data are shown in blue. Replicated metabolites from the data imputed by different methods are marked with labels. Solid dots indicate sign matches between the observed and imputed data, while hollow dots indicate mismatches. Source data are provided as a Source Data file.

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