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MS performed the microarray experiments, statistical analysis and bioinformatics.
With the generation of large data sets from microarray experiments, statistical methods are needed to extract useful information.
In these sections, the authors evaluate the different microarray platforms, probe labeling, image analysis, various crucial and essential quality controls, etc. Owing to the large amount of data generated by microarray experiments, statistical analysis should be considered as the cornerstone of such studies.
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The topics discussed by the participants included technical issues relating to the printing of arrays, RNA isolation, cDNA labeling and hybridization, optimal design of microarray experiments, and statistical analysis of these data.
A number of papers have described methods for assessing selected dataset requirements in microarray experiments using statistical criteria [12].
EW performed microarray experiments and statistical analysis.
OS carried out the NASBA and microarray experiments, conducted statistical analysis and drafted the manuscript.
CC and SG performed the microarray experiments and statistical analysis of the array data.
HH and SJ collected astrocytoma samples, performed microarray experiments and statistical analysis.
AW performed infection of cell lines, FACS and microarray experiments with statistical analysis.
SCPR and NAH jointly designed and carried out the laboratory manipulations, microarray experiments, and statistical analyses and drafted the manuscript.
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