Sentence examples for multiple analyses in from inspiring English sources

The shape of cumulative score histograms provided better separation of single and multiple HIV-1C infection than any single method of analysis, highlighting the importance of multiple analyses in determining multiplicity of HIV-1 transmission.

We conducted multiple analyses in order to examine multicollinearity in our data.

This report shows that paper-based flexible electrodes are user-friendly, cost effective and useful for multiple analyses in CV compared to other printed electrodes.

Rather than performing multiple analyses in parallel for the enhancement of analytical throughput, we improved the processing speed for individual samples by increasing the operation flow rate during SPE procedures.

To illustrate the usefulness of being able to store multiple analyses in a single database, we further compared the results between the OrthoMCL and Jaccard Clustering methods.

So, it is important to keep in mind that running multiple analyses in a single CPU may not be feasible, depending on the specifications of the hardware, so it is usually convenient to have the chance to use multiple processors.

In the right hand column of Table 2, we have given these QTL the same name to reflect the hypothesis that in these cases one QTL underlies the effect that appears in multiple analyses and/or in both backcrosses.

Our finding of an increased MCP-1 level from a 10 ug/m3 increase in fine PM should be interpreted with caution given the multiple analyses conducted in this project.

The corrective actions were as follows: All morning blood tests were routinely scheduled for analysis at 7 00 a.m. and a rush hour due to multiple analyses resulted in an increase of the POCT turnaround time.

All morning blood tests were routinely scheduled for analysis at 7 00 a.m. and a rush hour due to multiple analyses resulted in an increase of the POCT turnaround time.

The usual argument in this case is that multiple analyses could result in spurious findings that undermine confidence in good products and overburden those responsible for investigating them.