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Table 1 Summary of the PCA models (Nsamples × Kvariables) obtained from the four control subsets of the single Rat experiment

From: Exploring the use of internal and externalcontrols for assessing microarray technical performance

Data subset
(control-type)
N samples
(hybridizations)
K variables
(probesets)
No. of PCs % Variance
Cumulative
RMSEC a RMSECV b
hybridization 137 18 4 94.9 0.087 0.680
polyA+ 137 27 4 97.3 0.117 1.48
RNAd 137 12 3 94.6 0.143 1.05
endogenous 137 100 7 70.8 0.125 1.52
  1. aRoot mean square error of calibration (model)
  2. bRoot mean square error of cross-validation employing the venetian blinds approach