Sentence examples for models to associate from inspiring English sources

We used North American Breeding Bird Survey data, a time series of Landsat images classified with respect to land cover change, and mixed-effects models to associate changes in forest bird community structure with forest disturbance, latitude, and longitude in the conterminous United States for the years 1985 to 2006.

To identify potential critical time windows during gestation, we fit multivariable linear regression models to associate lymphocyte percentages with monthly average PAH and PM2.5 exposures, separately.

We used linear mixed-effects regression models to associate transient noise exposure with vascular parameters by controlling important confounding factors of study subjects (Littell et al. 1996).

Building mathematical models to associate a specific occupation of a specific CRM with an observed transcriptional response promotes a better understanding of the transcriptional regulation and enables in silico hypothesis testing about postulated regulatory TFs or mechanisms.

This paper proposes a mathematical model to associate key operational, managerial and design characteristics of a system with the system's susceptibility towards common cause failure (CCF) events.

A few other reports provide connections, the underlying mechanisms of which remain unclear and a model to associate viral infection with bone mineral density loss is not obvious.

Although the Weibull parametric model used in this analysis is not a novel analytic approach in itself, our application of the model to associate a given baseline score with a median survival time is original.

AD models are conceived as meta-models designed to associate an untrustworthiness score to any molecule M subject to property prediction by a QSAR model.

SUPERFAMILY [25], [27] is a library of profile Hidden Markov Models [78], designed to associate a protein sequence with the most probable 3D structural model.

Neural networks are quantitative models which learn to associate input and output patterns adaptively with the use of learning algorithms.

Specific amplification models were shown to associate with specific cancer types and classification terms.