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The OpenTox Framework however works independently of the underlying data, which makes it useful also for any other toxicology-relevant endpoints.
The specific problems with GFT have been well described and discussed (Cook et al., 2011; Olson et al., 2013; Lazer et al., 2014), but the larger problem with GFT was the private ownership of the underlying data, which meant that the algorithm could not be reproduced and investigated independently.
In this way, listening can allow you to draw conclusions about the underlying data, which go beyond the specific content of individual tweets and demonstrate communicative relationships.
First of all, limitations in the model arise from the nature of the underlying data, which in several cases were not available with the required level of detail.
Hundreds of agreements have been signed between genetic testing firms and US payers that have apparently not required disclosure of the underlying data, which is ultimately derived from – and would benefit – patients seeking optimal treatment.
Clustering (Hartigan 1975; Jain and Dubes 1988; Oliveira and Pedrycz 2007) is a widely used technique in data mining application for discovering patterns in underlying data, which partitions the input space into K regions depending on some similarity/dissimilarity metric, where the value of K may or may not be known a priori.
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One is the underlying data architecture, which is an IT topic.
In other words, testing the derived signal for information content provides a better trust index of the derived respiration rate than does an estimate of the quality of the underlying data from which the respiration signal is derived.
The purpose of the DMP is to describe the underlying data management process which governs collection, management, review and reporting of data from this clinical trial.
De Bruijn graphs have proven to be of great utility as the underlying data model over which almost all de novo assembly algorithms designed to use short read data have been implemented.
These k-mer graphs have been implemented into efficient data structures for large collections of k-mers and have proven to be of great utility as the underlying data model over which numerous de novo genome assembly algorithms have been implemented (Pevzner et al., 2001, Zerbino and Birney, 2008, Simpson et al., 2009).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com