Sentence examples for multiple datasets and from inspiring English sources

Until now, connecting to multiple datasets and up-selling extra products weren't priorities for most legacy media.

For a citizen being able to visualize multiple datasets and to analyse and extract insights from them, the data first needs to be harmonized.

Xiao et al. [15] jointly trained a identification model using multiple datasets and proposed a new dropout function to deal with a large number of classes.

An additional set of data are from self-ratings on a Likert Scale for the statement, "I understand that assessments of volcanic activity are based on multiple datasets, and can describe how different datasets complement one another".

Selection is made of the gene pairs that show high correlations in multiple datasets, and the selected form doublets.

The 3D-signature accurately predicts breast cancer outcome across multiple datasets and holds prognostic value for both ER-positive and ER-negative breast cancer.

Scatter plots of protein evolutionary rate dN versus PPID, together with linear regression fit, are shown in the upper panels of Figure 1A-C for the "Y2H-union", "Combined-AP/MS" and "LC-multiple" datasets, and in the upper panels of Figure 1D-F for the "Updated-HC", "DIP-CORE" and "DIP-FULL" datasets.

A 3rd order Lagrange interpolating polynomial was used to obtain a complete distribution between data points for multiple datasets (Liu and Gu 2001).

For privacy advocates, this is a long-fought victory; recognition that there is something uniquely intrusive about mass surveillance, and the ability to cross-reference and analyse multiple datasets for patterns and correlations, that cannot and should not be weighed by reference to traditional notions of targeted interception.

We selected 11 putative target genes whose mRNAs were associated with segment 31 CNV and MYB expressions in multiple datasets (see Materials and Methods and Additional file 1, Text S1).

Using multiple datasets combining public and private data and focusing on births of innovations, this study shows how the nature of knowledge affects differences in the innovation productivity of R&D and non-R&D work.