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Three filtering criteria are applied to the initial data set.
We aim at the recovery of a compound model "image + uncertainties" that best relates to the observations and contains a maximum of useful information from the initial data set.
As given in Table 1, the five inputs removed from the initial data set were ring frame draft, traveller weight, fibre reflectance, fibre trash weight and fibre trash area.
Thus, the initial data set of 13,152 maps for high solar activity and the same for low solar conditions was reduced to a set of 1096 maps for each 3-year period.
Homogeneity of the initial data set will influence estimations of the performance of the analyses.
After trimming the 3' adaptor sequence and removing the 5' adaptor contaminants, all identical sequences of sizes ranging from 18 30 nt were counted and eliminated from the initial data set.
The method reduces the complexity of the initial data set while retaining most of the information on their relationships, and provides graphical outputs so that the above relationships can be visualized.
From the initial data set, we constructed 1000 bootstrap data sets and performed automatic stepwise logistic regression in each, selecting variables associated with mortality with P<20% by univariate analysis.
All identical sequences were counted and eliminated from the initial data set.
Performing such task is strictly equivalent to applying a PCA on the initial data set.
The initial data set for this study consisted of 891 women.
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