Sentence examples for representations and statistical from inspiring English sources

The analysis is carried out with the aid of graphical representations and statistical methods.

The rationale for doing so was (i) to easily analyze the GO annotations (as 'Blast2GO' includes several functionalities for graphical representations and statistical analysis) and (ii) to compare data from S. gregaria CNS with publicly available L. migratoria EST sequences by performing the same analysis for both, based on the same criteria (cf. infra).

The T2 progeny of at least three independent transgenic lines was analysed for each transgene, and in each case the three lines with the strongest phenotypic suppression were chosen for the graphic representations and statistical analyses.

Graphic representation and statistical analysis of NK cell phenotype were obtained using Graphpad Prism software (San Diego, CA).

For graphic representation and statistical analysis, respective values of 1.8, 2.8, 8.5, or 9.5 log10 were assigned as needed for samples with undetectable or saturated virus levels.

Prism software (GraphPad Software, La Jolla, CA) was used for data representation and statistical analysis.

Countries of origin were grouped into larger regional groups, for easiness of representation and statistical tests.

Second, for the nested qualitative study a purposive sampling method (n = 37 from the local community) was used to increase the sample size, representation and statistical power for the quantitative analysis.

As the number of participants who fell into the group with tdVAS less than mean − 1SD was small (n = 2) and the ΔOxy-Hb waveforms from this group were comparable to those from the neighboring group (tdVAS between mean and mean − 1SD; n = 10), these two groups were combined together for the schematic representation and statistical comparison of ΔOxy-Hb amplitudes between groups.

Computation of the graphical representation and statistical validation (t-test) were performed using SigmaPlot 11.0 (Systat Software, Point Richmond, USA), considering the differences in the PCR efficiencies and indicating the relative expression of the gene of interest versus the expression of alpha-tubulin gene in the considered sample.

This new representation facilitates algebraic and statistical manipulations such as projection onto 2D plane (thereby offering intuitive visualization), object grouping (hence enabling automated phenotyping), and risk stratification.