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However, the results from the deviant samples were not amongst the batches with the longest mail time.
Quality of the two data sets was checked with respective quality control tools, and since no deviant samples were observed, all arrays were retained.
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Several variety samples were genetically homogenous, whereas others included some 'deviant' genotypes.
Occasionally, one of the three samples was highly deviant, but it was not possible using these data to assess whether these cases represent biological effects or technical artifacts.
The remaining samples are then presented to a one-class SVM trained on healthy subjects to detect deviant samples, and thus non-malignant findings.
If quality control tools indicate that certain samples need to be excluded from further analysis, this can be easily accomplished in Chipster by either excluding the deviant samples from the already normalized data or by re-normalizing the acceptable samples.
Sixteen deviant response trials were randomly sampled from the experimental conditions and responses to these trials were modeled with a separate nuisance regressor of no interest.
All samples with deviant dHPLC patters were re-sequenced.
We then measured MMN to the same deviants in a linked sequence where deviants were paired duration deviants followed an intensity change and spatial deviants followed a frequency change.
The sequential probabilities of repetition deviant and intensity deviant stimuli were 0.11 and 0.063, respectively.
Deviant cases were discussed.
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