Electrophysiological, biochemical, immunohistochemical and behavioral experiments were performed using different groups of rats at the age of 5 weeks of age.
For screening using different groups of patients with dengue fever (DF), dengue hemorrhagic fever (DHF) and patients with DENV-1 or DENV-2 infections, the synthetic peptides were used in a purest form (Schafer Laboratory, Copenhagen-DK), covering all amino acids of the envelope protein.
The expressions of 5-HT, TH, and CRF were measured using different groups of mice.
Comprehensive experiments have been conducted on the specified platform using different groups of sequences selected from the indicated datasets.
Groups of heterozygous mutants and their wild-type littermates were tested for each mutant line, using different groups of animals for each time point.
In this study, we want to investigate whether it is possible to capture domain-specific topological similarities by using different groups of topological network descriptors.
Four separate logistic regression models were specified and estimated, each having the same dependent variable but specified using different groups of independent variables.
Therefore, we use different groups of topological network measures as input for supervised machine learning techniques in order to comprehensively capture topological network properties for classification.
Based on work we have done in pediatric acute care settings [ 24] we know that aggregating using different groups of staff (e.g., registered nurses, allied health professionals) sometimes produces different results, depending on how their work is structured.
For each genetic data set, we ran various models using different groups of predictor variables, including: (1) environmental variables only, (2) environmental variables and geographic distance, and (3) environmental variables, geographic distance and riverine barriers.
