Table 4

Breast tumor data: Variability of log geometric means based on optimal gene subsets identified by various methods

Set Size

Method

Optimal set

Variance logGM

Std Dev logGM


2

Szabo et al

MRPL19, PUM1

0.517

0.719

2

Vandes. et al

MRPL19, PSMC4

0.629

0.793

2

New

ACTB, SF3A1

0.321

0.567

3

Szabo et al

MRPL19, PUM1, PSMC4

0.531

0.729

3

Vandes. et al

MRPL19, PUM1, PSMC4

0.531

0.729

3

New

ACTB, SF3A1, PUM1

0.327

0.572

4

Szabo et al 1

MRPL19, PUM1, PSMC4, SF3A1

0.464

0.681

4

New

ACTB, SF3A1, PUM1, GAPDH

0.369

0.607


1Same results using either the method of Vandesompele et al [4] or Szabo et al [9]

Chervoneva et al. BMC Bioinformatics 2010 11:253   doi:10.1186/1471-2105-11-253

Open Data