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It is difficult to see the differences in the experiments were cells are pressed by slides.
Our results were in line to those of Kitaba et al. [ 13], despite several differences in the experiments performed.
The authors need to make explicit all the various differences in the experiments (sites, labs, equipment), and then they can use this as a 'strength' as they argue in their rebuttal.
Given differences in the experiments, we used Distance Weighted Discrimination (DWD) [ 17] to minimize systematic microarray data biases attributable to RNA source, different analysis laboratories, different microarrays, or other systematic differences which include sex and strain in this case.
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This illustrates that there is greater similarity between the expression profiles of the two cell lines than there is between technical differences in the experiment (i.e. the two different microarray formats).
Five out of the 6 largest differences in the experiment was observed (2.6; 2.7; 3.3; 3.3; 4.2) for pig 25 and already on PID 0 the difference was 2.1 indicating that there was a systematically large difference in the measurements.
In some cases, scientists apply artificial treatments to create the difference in the experiments, and facilitate the comparison [ 8, 9].
The conflicting results may be explained by the differences in how the experiments were performed.
The changes in the cell functionality provoked by the differential expression of such gene modules must be, to some extent, responsible for the phenotypic differences observed in the experiments.
However, no differences appeared in the experiments.
These were either sequence pairs that did not show significant intensity differences in the microarray experiments or individual sequences used as internal controls for the QPCR experiments.
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