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Application of a systems pharmacology-based approach enabled us to predict unknown biomarker profiles such as kidney PHD2 concentration levels and erythropoetic responses under various dosing scenarios.
This survey-based approach enabled us to evaluate a population-based sample of adults who resided throughout the continental United States, which ensured generalizable results.
Our deep data based approach enables insurers to better understand their customers and launch new products and services on a more bespoke and individual level.
The flexibility inherent in this mesh based approach enables the analysis of large geospatial datasets by giving the user refined control over the distribution of calculation points within the model.
The Fourier series based approach enables one to increasingly add more spatial definition to the stress field and thereby determine the level of detailed knowledge of the residual stress required to make a reliable assessment of structural integrity.
Furthermore the model based approach enables estimation of <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0008623.e113.PNG" class= inline-graphic"/> which can not be done in a conventional analysis after shifting the cut-off.
By contrast, the transposon based approach enables with only a few initial starter lines the successive accumulation of novel independent insertions in a definite plant population [ 28, 40].
This approach enabled us to base analyses on a very large dataset notwithstanding confidentiality issues precluding comprehensive linkage directly at individual level.
This approach enabled us to study homogenous length-of-stay based clusters.
This approach enabled us to identify a PBMC gene expression based predictors that envisioned the time until the next relapse with high accuracy.
This approach enabled us to determine whether changes in female interspecific mate assessment based on individual visual signals correspond to changes in male signals resulting from EDC exposure.
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