Sentence examples for multiple datasets in from inspiring English sources

This can happen in a number of ways: through the use of predictive analytics set across multiple datasets in real-time; through the delivery of stratified medical pathways, drawing on patient, environmental, social and genetic data to anticipate treatment pathways; through the correlation, analysis and interpretation of telehealth, telemetry and genomic data to treat disease pre-emptively.

This flexible method can easily be customised by the investigator and would be of use in comparing microarray SNP data between multiple datasets, in particular where somatic mosaicism was suspected.

There is no overplot support for commands like plot_fit_delchi and plot_fit_resid, which create two separate plots; instead it is possible to create the plots in separate ChIPS frames and then re-size the frames so as to show multiple datasets in the same window.

Spatial modeling technique is a useful method of overlaying multiple datasets in a GIS to assess suitability (Duc [2006]).

That is why we tried different combinations of feature selection methods and text classifiers on multiple datasets in our research so that we can compare their performance collectively and accurately.

This of course needs processing and comparisons of multiple datasets in an in silico or a 'virtual' laboratory [28].

This study analyzed multiple datasets published in public database, GEO database (www.ncbi.nlm.nih.gov/geo/).nih.gov/geo/

We simultaneously fit the model to multiple datasets measured in clonal wildtype cells by multiple labs (Park et al., 2010; Kollmann et al., 2005; Shimizu et al., 2010).

Furthermore, this CNV is correlated with differences in anxiety-like behavior in multiple datasets derived from studies of inbred strains and in outbred CD-1 mice.

One way to reduce the influence of such bias is by analyzing multiple datasets representing differences in the populations across multiple dimensions.

The evaluation of multiple datasets as employed in this study has been shown to yield more reliable and valid results, because they are based on large sample numbers and the individual bias caused by each study is weakened [30].