data.simu: Simulation study for multilevel analysis
Description
Simulation study to illustrate the use of the multilevel analysis for one and two-factor analysis with sPLS-DA.
This data set contains the expression measure of 1000 genes.Details
In this cross-over design, repeated measurements are performed 12 experiments units (or unique subjects) for each of the 4 stimulations.
The simulation study was based on a mixed effects model (see reference for details). Ten clsuters of 100 genes were generated. Amongt those, 4 clusters of genes discriminate the 4 stimulations (denoted LIPO5, GAG+, GAG- and NS) as follows: \
-2 gene clusters discriminate (LIPO5, GAG+) versus (GAG-, NS) \
-2 gene clusters discriminate LIPO5 versus GAG+, while GAG+ and NS have the same effect \
- gene clusters discriminate GAG- versus NS, while LIPO5 and GAG+ have the same effect \
-the 4 remaining clusters represent noisy signal (no stimulation effect)References
Liquet, B., L� Cao, K.-A., Hocini, H. and Thiebaut, R. A novel approach for biomarker selection and the
integration of repeated measures experiments from two platforms. Submitted.