Sentence examples for by a simple visualization from inspiring English sources

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This conclusion is supported by a simple visualization technique used in Figure 1, namely, coding the involved proteins according to their intrinsic disorder content evaluated by PONDR-FIT.

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We approached this goal by identifying poorly supported regions with a simple visualization technique and calculating several statistics pertaining to data availability and the difficulty of resolving poorly supported regions.

Thus, today the main approach for data analysis is a simple visualization of the process parameters using time graphs as visualization tools.

GEMANOVA modeling allowed a simple visualization of the entire experimental space.

A simple visualization is a solid foundation to build upon in order to design methods to effectively reduce blood losses.

Additionally, GEDI places similar centroids close to each other in the mosaic, creating an image of the transcriptome and allowing its analysis as an entity by simple visualization and through different conditions.

Although straightforward and convenient, the age at adiposity rebound estimated by simple visualization is quite arbitrary, especially for children with a flat valley around the nadir, and thus subject to large inter-observer variation.

In this case Cost Curves are used because they are easier to interpret in meaningful units and they facilitate the selection of the best classifier by simple visualization under certain conditions, for example, for the cost of misclassification and probability of a specific class.

The non-negativity constraint was introduced mainly for a more simple visualization of the results.

Table 4 Summary   ETI success Complication Baseline probability (before training) 71%533% Final probability (after training) 87%311% Threshold for improvement 13 0. The learning curve for anesthetic procedures has been documented by a number of researchers using simple visualization [19], the cusum method [7, 8, 20, 21] and logistic regression [9 11], among others.

PCA summarizes high-dimensionality data by capturing the latent variables that best describe a data set, allowing simple visualization of allele frequency differences among populations.

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