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The data was centered and scaled previous to applying logistic regression.
Surprisingly, all the programs we tested were sensitive to whether or not the data was centered prior to cluster analysis.
Two steps of COPA statistic is defined as following: 1) the data was centered and scaled on a rowwise basis using median and median absolute deviation.
Interestingly, one of the most stable programs (R-SOM, ARI = 1.0) had the worst accuracy when the data was centered (ARI = 0.54), indicating that being more stable does not necessarily give you a better answer.
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ANN may be computationally intensive to train and need additional preprocessing whereby data is centered and scaled.
For simplifying the following explanation, we assume these data are centered, i.e., ∑ i = 1 N ϕ ( x i ) = 0. (1).
Position and velocity data were centered at their means.
In the last step, data were centered relative to the median for each gene.
The data were centered by the tallest mode in the distribution of the segment values.
For each sample a cutoff was selected at the point that more clearly separated these two populations and the data were centered around this point.
Row data were centered to the mode using R script.
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CEO of Professional Science Editing for Scientists @ prosciediting.com