Thus, we applied a systematically constructed seven-point Likert scale, which produces data that can be interpreted metrically for SEM model estimations [28, 46].
To estimate needs, we applied a logistic regression and constructed an equation that predicted the probability (ie, the RS) 21 of using psychotropic medications around the age of 18 in the unexposed group (ie, children with mothers born in Sweden).
To overcome these limitations, we applied a probabilistic approach to construct a network less biased against membrane proteins.
We applied a probabilistic approach to construct a network with less bias against membrane proteins by using a simple and general error model based on the hypergeometric distribution to calculate the probability for each interaction occurring at random [ 32].
Then we applied a voting method to construct an ensemble protein-protein interaction network by integrating five existing PPI databases in human, i.e., HPRD [ 39], BIND [ 40], BioGrid [ 41], IntAct [ 42], and MINT [ 43].
Identification phase: When the consensus matrix was constructed, we applied a symmetric NMF-based clustering algorithm on this matrix to derive the clusters.
We applied a service oriented approach to construct distributed visualization pipelines, which allow visualization experts to develop visualizations to view and interact with large medical data sets.
We applied a principal components analysis to construct the HAQ Index using all scaled cause values, providing an overall score of 0-100 of personal health-care access and quality by location over time.
We applied a hierarchical assembly strategy to construct the genome sequence from contigs to scaffolds, in which we added paired-end reads step by step from short insert size to long insert size.
We applied a reiterate chromosome walking strategy and constructed the physical maps for the heterchromatic HSY and its X counterpart.
