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Microarray data were normalized across all arrays using quantile normalization of data in log base 2 scale [ 101].
Analysis and normalization of data as in g. n = 3 per group.
The normalization of data obtained from hybridization experiments with DNA chips to determine mRNA expression and concentration (gene expression profiling) is an unsolved problem.
Thus normalization of data is a critical step prior to analysis, particularly in large-scale data sets from clinical trials, where group specific differences may be subtle and patient-to-patient variation common.
The arcsine transformation (% data) was used for normalization of data before an ANOVA was conducted.
Sample data standardization is normalization of data; the data are compressed in the range [0, 1].
The ingestion and normalization of data still represents a serious challenge to reaping the benefits powerful data-centric platforms promise.
After normalization of data, variogram was drawn, for selecting suitable model for fitness on experimental variogram, less residual sum of squares value was used.
The adoption of simple data model with little or no normalization of data: NoSQL data do not follow standard principles of normalization.
In order to address this problem, a common statistical method, namely, the min-max normalization of data set, is extended and used to approximate original vectors.
The main issues, pertaining to transaction processing, are as follows: The adoption of simple data model with little or no normalization of data: NoSQL data do not follow standard principles of normalization.
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