Table 1 Comparisons of WeNNI, KNNimpute, and LSimpute adaptive using two different measures. MSD is the mean squared deviation calculated over all spots, whereas MSD_imputed is calculated over spots with SNR smaller than β, i.e., the spots imputed in non-weighted methods. β was chosen to yield the lowest MSD for LSimpute adaptive. WeNNI is more accurate than LSimpute and KNNimpute, even though β was tuned to optimise the performance of LSimpute.

From: Improving missing value imputation of microarray data by using spot quality weights