Table 5

Non-Breast Cancer data: Summary of results from five-fold cross validation
Methods # Gene # Para q Total AUC
pLPS 9.2 6.6 2.0 17.8 0.982
pLPS3 8.4 6.4 3.0 17.8 0.945
Logic 14.0 5.2 5.0 24.2 0.956
SPLR 17.2 20.6 5.6 43.4 0.962

“Total” sums the number of selected genes, the number of non-zero coefficients in the model, and the highest order of interactions. AUC indicates the area under the ROC curve.

Shi et al.

Shi et al. BMC Bioinformatics 2012 13:98   doi:10.1186/1471-2105-13-98

Open Data