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They are needed to build up appropriate databases integrating results from different laboratories with the aim to characterize the phenotypes of the model animal (e.g. [ 83, 105, 107, 108]), and for establishing databases with normative data of background and reference strains [ 109, 110].
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The preprocessing procedure for the raw microarray data consists of background correction, normalization, and summarization.
To reduce noise and facilitate curve fitting, temporal intensity profiles with a moving average of five consecutive intensity data points of background subtracted FA intensity measurements were used.
Thus, we do not need to set up header files for storing the data of the background music.
The patterns of missing data of the background variables were in turn created to be dependent on true person proficiencies.
The data of the background questions were entered into SPSS 20 and descriptive statistics were calculated.
To reduce noise, a moving average three consecutive intensity data points of background-subtracted FA intensity measurements was plotted.
To reduce noise, a moving average of either five or three consecutive intensity data points of background-subtracted FA intensity measurements was plotted (used for curve-fitting and local maxima quantification, respectively).
Use of existing data for estimation of background rates therefore needs to be tailored to local clinical standards.
Baseline drift can also be quite subtle and is most effectively recognized by visual examination of raw fluorescence data before subtraction of background fluorescence.
SUMMARY OF BACKGROUND DATA: Normative data are collected to establish means and standard deviations of health-related quality of life outcomes representative of a population.
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