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.

Data set

Measure

β

WeNNI

KNNimpute

LSimpute adaptive

Breast cancer

MSD

0.2

0.345

0.369

0.368

MSD_imputed

1.59

1.81

1.75

Melanoma

MSD

0.6

0.995

1.08

1.05

MSD_imputed

3.41

3.77

3.64

Mycorrhiza

MSD

0.2

0.216

0.241

0.244

MSD_imputed

0.840

0.902

0.954

Johansson and Häkkinen BMC Bioinformatics 2006 7:306   doi:10.1186/1471-2105-7-306