Sentence examples for single data analysis from inspiring English sources

Due to the differences among databases and because there are no clearly superior methods, future studies of mRNA and miRNA regulation should consider analysis of multiple predictive algorithms rather than use of a single data analysis tool.

Whether the two items should be regarded as covering a dimensionally distinct attribute or as being caused by idiosyncratic response tendencies or wording effects is difficult to tell from a single data analysis.

The advantages of combining information from multiple existing microarray studies in a meta-analysis are a larger sample size, minimization of center-specific effects, and the application of a single data analysis pipeline.

A few studies show the advantages of LRA for single data type analysis, such as cancer copy number variations [ 20, 28].

Therefore, their performance in these settings is the same as for the single data set analysis, see Table  1 and Fig.  5.

It is worth noting that combined use of multivariate data (i.e., seismic, geodetic, tsunami, and so on) possibly compensates for the weakness of single variable data analysis during great events with complex disasters.

Single subject preprocessing consisted of the following steps: realignment for motion correction, normalization to standard stereotaxic coordinates (MNI coordinates), smoothing at 6 mm3 voxels, and first-level single subject data analysis.

Potentially, this allows a user to maintain a single primary data analysis platform for all second generation systems.

Single elemental data analysis was performed using chi-square test whereas t-test was used for comparing paired sample sets.

However, the results based on single domain data analysis are often inconsistent, with a very low replication rate in psychiatric disorders [ 1, 2].

In brief, print tip normalization was carried out within slides and sequential single slide data analysis was carried out as an alternative to between-slide normalization.