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Importantly, these data involve a set of tasks with consistent stimulus and response formats, but varying levels of complexity and difficulty.
In this work, the ionic liquids database has a number of 96 data, which has been improved using data from the literature and experimental data following the UNE EN ISO 11348-3 procedure; these data involve nine different cations and seventeen anions, thus, 9×17=153 different combinations can be considered.
These data involve very few exposed cases.
The integrative methods that are used to investigate these data involve different fields, including biology, bioinformatics, and statistics.
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Our application of signal-detection theory (SDT) to these data involved treating response probabilities as performance in a 'same-different' discrimination task.
Nevertheless, these data involved obese children, while no data concerned newborns.
Furthermore, several associations detected in these data involved SNPs occurring in non-coding regions.
The time to compile and assess these data involved another two days for the researcher to update the reference maps.
It has been estimated that these data involved a maximum of 6percentt of the records from each state.
The application to request access to these data involved a description of the current project and required data, intentions regarding dissemination of results as well as computer security confirmation.
The normalization procedure applied to these data involved ranking genes in terms of their expression level, choosing the 1,000 genes with the most stable expression ranks and then scaling the data, so that the median expression level of these genes would be the same across species and tissues (Brawand et al. 2011).
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