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Samples were centrifuged, separated and frozen at -20°C until batch analysis was performed.
Unbiased automated batch analysis was performed and the cells-total number, mean/well cell Alexa Fluor intensity were computed.
Blood samples were collected in serum and EDTA, immediately placed on ice, processed and stored at −70°C in divided aliquots until batch analysis was performed for each biomarker.
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This one-batch analysis was performed for simplicity, but allowed an indicative assessment of the performance of a four-batch fuel management strategy.
In the PRT4 and MLPA assays, to completely avoid variations between plates or batches, analysis was performed in a plate- or batch- wise manner, so the data sets were too small to call CNs using the Gaussian mixture model.
Batch data analysis was performed with SNP finding via the Polyphred© program.
After pre-processing, batch effect analysis was performed.
Batch-gene analysis was performed by GOEAST, and enriched GO term outputs with a P value less than 0.05 were considered to be significant.
In batch WT2, histopathologic analysis was performed on half of the wounds and Raman spectra was collected from the other half of the wounds.
Serum and FF AMH analysis was performed batch wise in a single laboratory (hormone laboratory at Universitair Ziekenhuis, Brussels) to minimize variability.
The content analysis was performed to observe batch-to-batch variations for samples collected from different regions, as shown in Fig. 4.
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