Valenčič and Knez [ 29] state that in order to be able to compare the values obtained in different muscles this increase in time must be normalized.
To address this issue the two output variables must be normalized somehow so that the construct X out| X in is not given in units of concentration of a pathway-specific gene, but given in a unit-less percent of a characteristic concentration for this gene.
The data matrix must be normalized before statistical analysis.
After each iteration, the weights must be normalized to ensure a proper probability distribution.
Therefore, the percentage of positively-stressed aftershocks must be normalized by the positively-stressed background shocks.
The local coefficient (L) attempts to define how "local" each category of product or service must be, normalized on a scale of 0 to 1.
For the yield percentages related to the real material, the corrected numbers must be normalized to 100%.
Then, A g must be normalized by O q. Additionally, a correlation between E and A g is introduced.
Each ϕ x must be normalized in order to have its integrated intensity on R equal to 1.
Similarly, Eq. (8) is given for R P and R I. The two distributions must be normalized to the same scale before the similarity calculation is performed.
