Sentence examples for both data types considered from inspiring English sources

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Although assessing the performance of an analytical method is challenging when true gold standards are not known, several criteria indicated the robust performance of our method for both data types considered in our study.

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The data types considered were logarithm of amplitude and phase shift of the measured light.

The results are organized based on the identified vocabulary of regional units and the data types considered.

Two fundamental data types are considered; namely, vibration signal measures, which can be extended to any nonnegative data, and symmetrical process values.

Moreover, it is often confusing what data types are considered relevant and valuable for research, and it is hard to understand which data was utilized in the reported research.

The projects are selected such that a diversity of fields and data types are considered, and importantly they will focus on the most widely applicable and reusable data science methodologies, such as image and video analysis, natural language processing, and other recent advances in machine learning.

The data were then analyzed in the context of both the phylogenetic grouping and the oncogenic potential of the HPV types considered.

Figure 1 describes the multiple layers of data types that are considered in this research.

Alternatively, specific guidelines could be formulated for particular settings and data types within the considered field; however, this might easily lead to overly complicated guidelines.

We can classify data exploitation according to the type of data used (similar or heterogeneous data types) or the information considered (all data points from all studies or summary results of individual studies, i.e. meta-analysis [ 26, 27]).

As SNPs are both clinically informative and there is a wealth of supporting allele frequency data, they have been the focus of our analysis, however there are other genomic data types which should be considered in a rigorous privacy and propensity analysis, including copy number variant and mutation data.

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