Sentence examples for data analysis group from inspiring English sources

STATKING Clinical Services (Fairfield, OH), an independent data analysis group, facilitated independent data auditing and analyses.

CC was responsible for the data analysis group (CC and JZ).

The GoNL data analysis group applied Genome Analysis Toolkit (GATK) BreakDancer, Pindel, GenomeSTRiP, CNVnator, 123SV and DWAC-seq to discover and genotype diverse types of variants such as SNPs, insertions, deletions, tandem duplications, inversions and translocations.

In this cross-sectional analysis, the most recently performed lumbar BMD measurement of the longitudinal data analysis group was used together with the single lumbar BMD measurement in the remaining 22 children.

Prior to the commencement of data analysis, group (intervention or control) and location (Australia or Taiwan) variables will be re-coded to a pair of numbers between one and ten to which the data analyst will be blinded.

Color is used to catch significant differences in the data sets by view; manipulation of visual object sizes may assist persons to identify the most important elements of the information; representation of connections improves patterns identifications and aims to facilitate data analysis; Grouping objects using similarity principle decreases cognitive load.

The desire of many laboratory based chemists to analyse data themselves still poses a problem: in areas such as biology and medicine it is usual for there to be separate data analysis groups, so novel computational approaches can be adopted much faster and do not need to wait for commercial package developers.

RCR analysis was performed by selecting the genes that were differentially regulated (see Methods— Transcriptomics data analysis) between group C and group B (proliferation effect over time).

We used multivariate data analysis to group repeat segments in electron tomograms of isometrically contracting insect flight muscle, mechanically monitored, rapidly frozen, freeze substituted, and thin sectioned.

Clustering can be used in post-genomic data analysis to group strains with similar traits.

The WTCCC2 data and analysis group (Z.S., A.S., C.C.A.S., G.B., C. Bellenguez, C.F., M.P. and P. Donnelly) led the statistical analyses.