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Fig. 4 | BMC Bioinformatics

Fig. 4

From: Handling missing rows in multi-omics data integration: multiple imputation in multiple factor analysis framework

Fig. 4

Stability of the estimated MI-MFA configurations using different numbers of imputations. MI-MFA configurations were obtained for the following numbers of imputations: M l =10 l, for l=1,…,10. Left: RV coefficient between configurations obtained by MI-MFA with M l and M l+1 imputations. Right: RV coefficient between the configuration obtained by MFA on the complete dataset and MI-MFA on the incomplete dataset with M l imputations. The values shown are the mean RV coefficients for the N=30 two-dimensional configurations as a function of the number of imputations. Error bars represent the standard deviation of the RV coefficients

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