These slopes were utilized to determine whether postsurgical assessment data points at 6, 9, 12, and 15 months were improved relative to predicted points extrapolated from the presurgical progression rates.
The flow system has been utilized to determine whether the clearance data obtained using the integrated co-culture and flow platform, would better predict in vivo clearance (Novik et al., 2010).
Kolmogorov-Smirnov normality test was utilized to determine whether or not the data is normal.
The experimental design based on response surface methodology was utilized to determine optimal amount of affecting data.
The AFM data were utilized to determine the surface morphology and coating of various drug-loaded and blank beads.
The HCM algorithm, whose role is to carry out preprocessing of the experimental data, is utilized to determine the structure of Multi-FNNs.
Both image and force data are utilized to determine important parameters such as the approximate cutting force, puncture force, the local effective modulus (LEM) during puncture, and the relaxation of tissue.
The eutherian mammal alignments of each data set were utilized to determine whether the evolutionary divergent homologous sequences could be used to accurately predict important diagnostic sites for human hearing loss, using a phylomedicine approach as described in Burk-Herrick et al. (2006).
One area already leveraging the intelligence enabled by a disaggregated architecture to provide a leap forward in value delivered to customers is security, where large-scale correlation analyses, machine learning, and other big-data techniques are utilized to determine if a threat is present.
To identify signaling and metabolic pathways enriched in specific data sets, Ingenuity Pathway Analysis software core analysis (Ingenuity systems) was utilized to determine the statistical significance of enrichment for the pathways within a given data set.
