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Table 10 Comparing variances of spot intensities when using multiple values to impute versus a single value imputation.

From: The case for well-conducted experiments to validate statistical protocols for 2D gels: different pre-processing = different lists of significant proteins

 

Multiple Imputation

Single Imputation

 
 

Treatment

Control

Treatment

Control

 

SSP 1509

0.767

0.663

7.05

8.39

9 missing control

 

Range = (3.16)

Range = (2.63)

Range = (7.34)

Range = (6.56)

3 missing treatment

SSP 1733

0.356

1.4249

0.356

1.4249

0 missing control

 

Range = (2.23)

Range = (3.74)

Range = (2.23)

Range = (3.74)

0 missing treatment

SSP 6314

1.2055

1.178

3.41

1.17

0 missing control

 

Range = (3.94)

Range = (3.51)

Range = (7.15)

Range = (3.51)

14 missing treatment

SSP 6452

0.547

0.564

0.547

0

15 missing control

 

Range = (2.79)

Range = (2.14)

Range = (2.79)

Range = (0)

0 missing in treatment

  1. The variances for spots with missing values are either under estimated or over estimated with single imputation values. The ranges and variance values of intensities are closer to that of SSP 1733 (spot with no missing intensities) in the case of multiple value imputation.
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BMC Biotechnology

ISSN: 1472-6750

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