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Although a difference in growth could also be detected based on the average colony size, the time needed to differentiate between susceptibility and resistance was longer using this strategy than when individual colony growth rate was used.
The raw intensity data were first log2 transformed and then the outlier samples were detected based on the average inter-sample correlations.
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Clear differences between authentic and fake tablets were detected based on the measured average surface roughness and gloss values of the tablet samples.
Finally, GCIs are detected based on the fused results.
(Right) 28 communities detected based on the human mobility network.
(Right) Nine communities detected based on the human mobility network.
Fold changes were detected based on the equation LYP9/[ 93-11+ PA64s)/2].
The threshold was automatically detected based on amplification.
After acquisition, data were centroided (m/ z spectra peaks are automatically detected and their centroid is calculated based on the average m/ z value and weighted by the intensity).
Normalization was based on the average of the references/normalizer assays detected in all samples.
The table is sorted based on the average rank.
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