Skip to main content

Table 2 Simulation study

From: A novel approach for biomarker selection and the integration of repeated measures experiments from two assays

Number of genes Original matrix Within matrix
1 component 2 components 3 components 1 component 2 components 3 components
25 0.535 0.369 0.312 0.500 0.271 0.024
50 0.530 0.364 0.311 0.500 0.265 0.016
75 0.527 0.360 0.306 0.500 0.261 0.013
100 0.524 0.354 0.300 0.500 0.258 0.011
125 0.522 0.351 0.296 0.500 0.257 0.009
150 0.520 0.343 0.285 0.500 0.250 0.008
175 0.518 0.335 0.281 0.500 0.243 0.009
200 0.516 0.327 0.268 0.500 0.234 0.009
225 0.514 0.323 0.269 0.500 0.227 0.009
250 0.512 0.316 0.267 0.500 0.220 0.008
275 0.510 0.314 0.266 0.500 0.207 0.007
300 0.510 0.306 0.262 0.500 0.196 0.007
325 0.509 0.299 0.260 0.500 0.182 0.007
  1. Classification error rate estimation using leave-one-out cross-validation for classical sPLS-DA and multilevel sPLS-DA, with respect to the number of genes selected on each component (averaged over 100 simulation runs).