Table 2.
MSE |
chu_time | darmanis | CMD |
chu_time | darmanis | |
---|---|---|---|---|---|---|
chu | chu | |||||
Blind estimate | 0.01008 | 0.00796 | 0.00804 | 0.21217 | 0.15855 | 0.22897 |
SAVER | 0.01949 | 0.01850 | 0.01476 | 0.44604 | 0.40991 | 0.52235 |
drImpute | 0.01181 | 0.00796 | 0.01371 | 0.23595 | 0.16050 | 0.33769 |
scRMD | 0.01125 | 0.00868 | 0.00879 | 0.23598 | 0.17621 | 0.26170 |
PRIME | 0.03707 | 0.03508 | 0.02661 | 0.47846 | 0.42137 | 0.33218 |
SCENA_average | 0.01285 | 0.01119 | 0.01313 | 0.27283 | 0.21596 | 0.42946 |
SCENA_ridge | 0.01212 | 0.00708 | 0.00513 | 0.20497 | 0.12942 | 0.12474 |
MSE and CMD between the reference correlation and the estimated correlation derived from various methods. SCENAridge has the lowest MSE and CMD among imputation methods in chu_time and darmanis data, and is lower than the baseline (“Downsample”), which is the sample correlation matrix of the downsampled data. All other imputation approaches perform worse than the baseline.
CMD, correlation matrix distance; MSE, mean squared error.