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Table 3 Korea data results

From: Fast and robust imputation for miRNA expression data using constrained least squares

Metric FLI VIPER scImpute Regression Mean Zeros
(a) Classification results
AUC .97 .96 .96 .91 .92 .80
\(F_1\) .94 .94 .95 .89 .90 .88
ACC .91 .91 .92 .85 .83 .80
(b) Imputation errors
\(\epsilon _{\mu }\) .13 .13 .14 .27 .14 .67
\(\epsilon _{\sigma }\) .01 .01 .01 .17 .01 .02
\(\epsilon _{M}\) .17 .17 .18 75.3 .19 .72
Time FLI VIPER scImpute regression mean zeros
(c) Imputation time
\(t_\mu\) .024 18.2 .365 .005 \(\sim\)0 \(\sim\)0
\(t_\sigma\) .016 5.33 .348 \(\sim 0\) \(\sim\)0 \(\sim\)0
\(t_{\text {max}}\) .313 48.0 2.58 .063 \(\sim\)0 \(\sim 0\)
  1. (a) Mean values over curves shown in Fig. 5a–c. b Mean values over curves shown in Fig. 5d–f. c Mean (\(t_\mu\)), standard deviation (\(t_\sigma\)), and maximum (\(t_{\text {max}}\)) imputation times (in seconds) over all test patients. In table (c), \(\sim\)0 indicates that the imputation time is strictly less than .0005 s