Sentence examples for multivariate regression approaches from inspiring English sources

We demonstrated the ability to link the different chemical building blocks of small molecule bioimaging probes to the resulting staining patterns by applying multivariate regression approaches [24, 28, 29].

Previously, we used a quantitative multivariate regression approach to analyze relationships between chemical structures and image features [24, 28].

The results show that the multivariate regression approach can efficiently integrate the two types of data in the coastal waters of the area.

The extent to which the two building blocks of the styryl molecules were associated with the various measured image features was calculated using a multivariate regression approach [29].

In a multivariate regression approach e-waste related activities had no positive influence on internal PCB exposure, but rather the time living in Accra.

We used a multivariate regression approach to relate near-ground temperature of 203 loggers over the snow-free seasons in an area of ∼16,000 km2 to remotely sensed and on-site measured variables of forest structure and physiography.

We used a multivariate regression approach, the Inferelator [31], to infer predictive models based on the transcriptomic dataset.

Each submodel then becomes a response matrix in a multivariate regression approach (e.g. RDA) with environmental variables as predictors.

Thus, to predict causative regulatory influences acting on the core response module, we applied a multivariate regression approach, previously developed and used in microbial systems [31].

However the multivariate regression approach employed provides additional insight into the regulatory network by prediction of the directionality of regulatory interactions.

In Wagstaff et al. [ 12] a multivariate regression approach is used for a decomposition of background characteristics.