Although the statistical tests describe the differences among groups and produce features that can potentially lead to the classification of the groups under consideration, it is often the case that multivariate approaches, taking into account combinations and interactions of features, rather than univariate approaches, lead to better results.
It provides an objective approach to explore the organization and interactions of biological processes.
The network approach focuses on the relationships and interactions of the members (actors) rather than their individual attributes or behaviours.
A proteomics approach studies the structure, function, and interactions of proteins produced by genes in a particular organism, tissue, or cell.
Thus, in this study, we investigated, with a combined experimental and theoretical approach, the interaction of ubiquitin with graphene quantum dots (GQDs), an important class of novel carbon nanomaterials which has attracted intense attention lately due to its great potential in biomedical applications.
In a first modeling approach, the interaction of neurodegenerative protein aggregation and metabolism has been addressed.
For 100 days, from July until October, the IFU offers a unique curriculum, guided by principles such as international exchange, interdisciplinary approach, gender perspective, interaction of science and society, and integration of art and science.
The study was designed following a process-oriented approach, investigating main and interaction effects of students' self-regulation (questionnaire before learning process) and situational characteristics (video-based observation during learning process) on emotional states during class (continuous-state sampling during learning process) (see Fig. 1).
Using a mixed effects model approach, no significant interaction of time and treatment group was found on the GAF (F = 0.354; df = 2, 225; p = .59).59
Analysis will be conducted using a repeated measures approach exploring the main and interaction effects of the time of measurement (i.e., pre, post painful stimulation) and group (i.e., NSSI, healthy controls) on all dependent variables (i.e., cortisol, RMSSD, MAP) controlling for potential covariates (i.e., BMI).
