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Goodyear's managers found that by testing a wide range of prices, they could predict whether consumers would notice a given price change and how great a change was necessary to cause shoppers to switch brands.
There is potential for cost reduction by improving the understanding of the process, by testing a wide array of enzymes and various substrates under different conditions to determine optimum hydrolysis conditions.
SSEmin was also determined empirically, by testing a wide range of different values over a large number of different A-scan lines.
The specificity of the designed assays was further studied by testing a wide selection of animal samples (feline, canine, porcine, bovine, ovine, duck, and gull) as well as by testing hospital sewage and urban sewage from areas without poultry industry.
By testing a wide range of pH and ionic strength conditions, we found that IgG 4 is more stable at high pH but also at either low or high salt concentrations.
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We extended previously reported results obtained on this platform (Davis et al., 2011) by testing a wider concentration range and by additionally testing vemurafenib.
An additional problem arose because of difficulties in defining the maximum response to the individual test compounds, as well as the maximum response predicted by CA. These difficulties were overcome in the present study by testing a wider range of mixture concentrations and by standardizing the response across exposures according to the minimum and maximum response of the controls.
The optimal two-photon excitation wavelength (910 nm) was determined by separate experiments testing a wide range of wavelengths.
Ultimately, the robustness of the alkaline comet assay as a predictive test can only be fully established by testing on a much wider range of cell lines and human tumour tissues.
To perform multiple phenotypes based GWAS, application of traditional GWAS approaches has suffered penalties from multiple testing problems caused by testing multiple genome-wide scans of single traits separately.
We used SNPsea to identify tissues relevant to blood cell count by testing 45 genome-wide significant SNPs (van der Harst et al., 2012) with expression data (Gene Atlas) for 17 581 genes across 79 human tissues (Su et al., 2004).
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