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The negative impact of nonlinear input unmodeled dynamics is offset by using a normalization signal.
The estimates for MOE X are then converted into dimensionless units by using a normalization process for the following three conditions: (1) If a higher value of MOE represents more desirable performance, then by setting u(X max) = 1 and u(X min) = 0, the utility value is obtained as follows: u(X) = left( {frac{{X - X_{hbox{min} } }}{{X_{hbox{max} } - X_{hbox{min} } }}} right)^{T}.
Here, weight distribution was evaluated by using a normalization method that is less biased by changes in total body weight, but with only six animals per treatment group.
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This effect can be remedied by using a proper normalization of the vector elements.
Each mRNA expression was calculated by relative quantification using a normalization factor (geometric mean of two reference genes selected by geNORM program, http://medgen.ugent.be/genorm/) [35] and qBASE program for internal and external calibration and also for easy care of large RT-PCR datasets (http://medgen.ugent.be/qbase/).ugent.be/qbase/
This can be achieved either by doing an additional normalization step after scaling, but ideally by using a between-microarray normalization approach from the beginning, such as applying T-quantile normalization as demonstrated here.
Although these libraries show large variation in sequencing coverage, this variation can be mitigated by using a post-amplification normalization procedure, thereby increasing sequencing efficiency.
Therefore, in all ensuing analyses we further corrected for this departure from normality by using an inverse-normalization method.
The first dataset was obtained by using a percentile-rank (p-rank) normalization and the second one by a z-normalization.
Signal processing methods most commonly used are the baseline subtraction and the normalization by using a spectral line.
We note that by using a divisive rather than subtractive normalization, weights are redistributed rather than driven to saturation after each training pattern; for a detailed discussion of this behavior see [34].
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