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We want to emphasize that the above smoothed estimate of CN are only used for estimating the normalization functions; it is the original full-resolution data that will be normalized.
where,, and are normalization functions.
These normalization functions are applied to geometric and appearance features.
Some normalization functions are applied on the samples scoring and on geometric and appearance features.
We analyzed the relationship between available iris patterns and the iris recognition accuracy to determine the normalization functions empirically.
Their corresponding normalization functions ϕ ̄ px ( s f ) and ϕ ̄ py ( s f ) are similar to ϕ ̄ h ( s f ).
Similar(38)
The log2 transformed intensity data were normalized using Quantile normalization function.
We base our correlation matrix on measured values x normalized with the standard normalization function f(x) = log(x+1).
The data from the one-color platforms were normalized with variance stabilization and normalization function implemented in the vsn package [ 53].
Protein spots were detected and matched between the different samples; individual spot volume values were obtained according to the program instruction and normalized using the program volume normalization function.
6. Right-click on the respective MIDAS node and the selecting the "Plot MIDAS…" option will pop-up a plot of the data (the plot can be exported following "File -> Save R plot…" 7. Right-click on the "Normalize" node to run the normalization function.
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