Sentence examples for measures for interaction from inspiring English sources

The development of method-specific and method-independent measures for interaction confidence measures is an ongoing research topic, and thus the confidenceList allows the provision of multiple confidence measures for an interaction, usually based on different methods.

Previous experiments have found the AUC measure to be more robust and stable than f-measure for interaction mining (Tikk et al., 2010).

As a measure for interaction of chemicals with Abcb4, changes in ATPase activity of recombinant Abcb4 with the tested chemicals present were used.

In epidemiology, there is still discussion about the appropriate measure for interaction assessment, including the choice between the additive (risk difference) or multiplicative (risk ratio) scales (Weinberg 2012).

To assess whether the effect of risk factors differed in WA compared with England, we tested for the interaction between country and age, sex, and deprivation quintile (as a continuous measure for interaction models) for each age group.

However, there is no explicit importance measure for interactions between variables.

It is therefore natural to explore the potential of information-theoretic measures for comparing interaction networks.

Fortunately, there is an easy solution to get valid estimates for measures of interaction on an additive scale when having preventive exposures by appropriately recoding one or both of the exposures.

The strength of the CNS data is the high-resolution multi-channel measures for social interactions, including person-to-person proximity (using Bluetooth scans), calls and text messages, activity on online social networks (Facebook), and mobility traces.

A set of different confidence measures for molecular interactions exist.

This was repeated ten times to obtain stability measures for the interactions.