Sentence examples for modeling approach allowed from inspiring English sources

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The inverse modeling approach allowed an estimation of the hydraulic properties of the bedrock layer where no measurement was available.

However, unlike the models mentioned above, my modeling approach allowed to simulate and track the continuous trajectories of expression patterns in one-dimensional virtual syncytial embryos, over developmentally relevant time scales.

This integrated 3D quantitation imaging protocol and computational modeling approach allowed cell-specific compartment models of the signaling pathways to be constructed and analyzed.

Our novel, noninvasive modeling approach allowed us to calculate both EGP and gut glucose absorption in pregnant women, which to the best of our knowledge has never been done before.

Our nonparametric multilevel modeling approach allowed the latent health state prevalences to vary between households with the advantage of less strong distributional assumptions and computational burden for the random effects at the household level (Web Appendix).

This modeling approach allowed for examination of the effects of covariates of interest at various levels: between times (within individual), between individuals, and between other levels of spatial aggregation (e.g., school or community).

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The normalized-Hill differential equation modeling approach allows quantitative prediction of network functional relationships and dynamics, even in systems with limited biochemical data.

Our explicitly spatial modelling approach allowed us to estimate the diffusion coefficients of the species in our model.

A modelling approach allowed CA-125 to be assessed as a biomarker for tumour size dynamics, to predict treatment efficacy for research and clinical purposes.

Thus, in combination with motif-finding techniques (and/or experimental validation assay ChIP-qPCR) our modelling approach allowed us to identify the loci of many thousands of novel BSs with characterized with low- and moderate- avidity of TF.

Our modelling approach allowed interrogation of the neuropsychological data at two levels: the mean results across individuals in specific groups, and the heterogeneity of the groups themselves, across the psychophysical constructs of bias and discriminability.

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