Sentence examples for measures were generated with from inspiring English sources

Firstly, descriptive statistics of the anxiety and depression measures were generated with the aim of assessing the prevalence of anxiety and depression in the study population.

Transcript-level expression measures were generated with the robust multiarray average procedure, as implemented in the Affymetrix Gene Expression Console, and probe set annotations were retrieved from NetAffx with the same software.

One hundred fluorescence measures were generated and averaged per sample.

These results were generated with gene density measured as the number of genes in a 0.50 Mb window centered around each intergenic locus; the result is similar, but only borderline significant, with 1.0 Mb windows (r = -0.18; p = 0.09).

Blood-based proteomic profiles were generated with SOMAscan technology, which measured 1033 proteins.

The similarity matrices were generated with the ECFP_4 fingerprint algorithm and the Tanimoto similarity measure.

Graphs were generated with Microsoft Excel program.

Descriptive summaries of demographic and assessment outcome measures will be generated with respect to all subject characteristics.

The absolute quantities of viral RNA in the samples were measured with a standard curve that was generated with a 5-fold serially diluted viral RNA extracted from DENV-2 virus inoculums of known titer.

Performing fast gradient-echo sequences using multiple increasing inversion times (e.g. 50 1,000 ms) before and after contrast-medium administration at the blood/myocardium equilibrium phase, allows the decay in myocardial signal intensity to be measured, and T1 maps to be generated with the use of curve fitting techniques (Movie 2).

This has shown that robust data can be generated, with consistent measures of expression within computationally determined clusters and contigs.