Sentence examples for by multiple data sets from inspiring English sources

This is based on the belief that those significant genes shared by multiple data sets could be the ones which are more important to focus on.

Here we adopt a simple strategy to address this issue with the assumption that the pathways predicted by multiple data sets should be more reliable than those predicated by only one data set.

Big data raises many privacy concerns as, for example, by combining multiple data sets one can easily re-identify privacy-sensitive data even this data has been anonymized.

By combining multiple data sets to form what it refers to as "Customized Consumer Profiles", MaxPoint says it is able to identify the best potential customer for any brand – those that are both interested and capable of purchasing the product.

By combining multiple data sets to form what it refers to as "Customized Neighborhood Profiles", MaxPoint says it is able to identify the best potential customer for any brand – those that are both interested and capable of purchasing the product.

By using multiple data sets, motion artifacts may appear at different locations in different volumes, as shown in Fig. 1.

It provides a macroscopic view and a deeper understanding of the molecular mechanisms of drug action by integrating multiple data sets through a variety of informatics approaches [ 3].

In support of this prediction, we found evidence for extensive ERG binding at the HES1 gene locus (Fig. 4f) and also confirmed the previously reported AR binding sites upstream of the HES6 gene (Ramos-Montoya et al. 2014) by using multiple data sets (Fig. 4g).

Image fusion and visualization relate the surgeon to the patient by bringing together multiple data sets, such as images and interventional tools, into a common coordinate system defined by the surgical field.

School Report Card aims to change this by bringing together multiple data sets and presenting them in a newly accessible way.

Chatterjee says TookiTaki differentiates by focusing on gathering multiple data sets from different sources including publicly available data and offline data and using them to produce predictions about customer behavior that can help companies more effectively plan marketing and sales campaigns.