Sentence examples for integrated inference from inspiring English sources

(Figs. 4 and 5, taken from Schwabe et al. (2016).) The distinction we highlight here impacts test design as well as score interpretation/inferences. Fig. 4 An adaptation of the Chapelle et al. (2008) dual grounds for iBT TOEFL® inference from Schwabe et al. (2016) Fig. 5 An integrated inference perspective, framed as ability-in language user-in context from Schwabe et al. (2016).

It also clearly demonstrates the added value of using all available data sets in a comprehensive and integrated inference framework.

Although these approaches do not seek species tree reconstruction, future developments seem particularly promising for the integrated inference of recombination breakpoints with species tree reconstruction.

The advantages offered by this multidimensional approach [20] are: a. Empowering pervasive computing, integrating inference models, and leveraging network solutions;   b.

Empowering pervasive computing, integrating inference models, and leveraging network solutions; Optimizing data re-use strategies; Validating the significance of evidences by cross testing and cross-referencing across models and against datasets; Generating patient outcomes from large sets of features.

SNPMStat v 3.0 simultaneously fits a model of association and imputes genotypes by integrating inference of missing genotypes and estimation of odds ratio into a single likelihood framework.

These idiosyncratic data must be annotated using standard terms and elements that correspond to the way scientists might search, integrate, inference, or expand upon the data.

We use 38 metazoan genomes and a comparative genomic application system to integrate inference of gene duplication with expression data from 17,503 human genes into a strictly phylogenetic framework.

We also seek an approach that integrates inferences across different and diverse kinds of data that can tie together inference based on epidemiology, animal testing, and mode-of-action and pharmacokinetic data.

The focus of this work is integrated network inference based on mRNA and miRNA time series data and prior knowledge [ 6, 24, 25].

In this study, we integrated the inference of gene expression profile with the known clinical features of stomach cancer over time to predict cancer progression.