Sentence examples for measures were generated and from inspiring English sources

One hundred fluorescence measures were generated and averaged per sample.

Gene expression measures were generated and data normalized using the GCRMA method [ 13] in ArrayAssist (4.2.0, Stratagene).

Expression measures were generated and normalized using the RMA procedure (Irizarry et al. 2003; Shie et al. 2012), implemented in the Bioconductor package (www.bioconductor.org/).

Descriptive statistics for comfort, utility and behavioral intention measures were generated for the overall sample and by gender and weight status.

Summary measures were generated for both weather and death counts (all deaths and deaths among older people).

Network maps and component and density measures were generated using the program Ucinet [ 16].

Confidential, comparative practice reports that included key clinical process and outcome measures were generated from the web-based clinical data repository and emailed to the key contacts at each site.

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.

Adjusted rate ratios (incidence rate ratio (IRR) and 95% CI) between the burn injury and no injury cohorts and the outcome measures were generated using negative binomial regression.

Summary force and liking measures were generated for each image category for each subject.

Data were normalised and probe intensity measures were generated using the Robust Microarray Analysis algorithm (Irizarry et al, 2003).