Ratio intensity plots and heat maps for the raw and normalized data were constructed to identify outliers.
Data were constructed to observe a change between each of the four waves, yielding three study intervals: from wave one to wave two (1999 2001), wave two to wave three (2001 2003), and from wave three to wave four (2003 2006).
Besides, an analytical platform composed of comparative genomic analysis, PPI network, pathway analysis and visualization of genomic data were constructed to extend our understanding of the bamboo genome and to help researchers to design experiments for further validation.
Therefore, all models of maternal and infant data were constructed to include season and parity (nulliparous compared with parous) as confounders, and interactions between group and parity or season were considered as appropriate.
A multiple linear regression (MLR) model on the patient data was constructed to determine the relationships between the independent variables (waiting time, BMI, affected joint, 15D score at baseline, gender, age, education, housing) and 15D score at admission.
To obtain this aim, a data description is constructed to capture all characteristics of normal data, and subsequently this description is used to detect abnormal data which cannot fit it well.
Using these patient data, an aggregated dataset is constructed to mimic the type of data that it routinely available.
The neighborhood graph of the input data is constructed according to a certain kind of dissimilarity between data points, which is specially designed to integrate the class information.
The following data have been constructed to represent a typical day's operation of a DC microgrid.
Data selection was constructed to best fit this goal.
