Sentence examples for the datasets discussed in this from inspiring English sources
The datasets discussed in this publication have been deposited in the Stanford Microarray Database [65], and NCBI's Gene Expression Omnibus [66] and are accessible through GEO Series accession number GSE17762 [67].
The datasets discussed in this section are curated known collections of cancer variants that are used frequently as a substitute of a reference dataset.
Thus if a researcher were correlating or regressing GP densities against health outcomes using any of the datasets discussed in this paper, doing so at SLA or DGP scales should produce similar results.
Remarkably, we used only 10% of the particle images present in the dataset discussed in this manuscript.
The quality of the validation datasets discussed in this paper are presented by coefficient of variance (CV).
Additionally, the Ulitsky model was limited to cases where over 50% of the potential interactions were present, a condition not met by any of the overlapping datasets discussed in this paper.
To the authors' knowledge, the dataset discussed in Garber et al. (2012) is the only one available where the author used ChIP-Seq to study the dynamics of transcriptional response.
In the final dataset discussed in this study (study 2), the tutorial version no longer included the Extension Sect.
The entire dataset discussed in this publication has been deposited in NCBI Gene Expression Omnibus [ 25] and is accessible through GEO series accession number [GSE10442].
Due to high number of available events and symbol overlapping, numerous events are hidden by others Fig. 3 Magnitudes, hypocentral distances, and peak ground translation acceleration (PGTA, see color scale on top light) of each recording of each dataset discussed in this paper (the Kefalonia Island datasets, as well as Liu et al. 2009; Takeo 2009; Yin et al. 2016 datasets).
Fig. 10 Residuals of the PGRV/PGTA (a, b, c, j and k), rocking/PGTAZ (d, e, f), and torsion/PGTAH (g, h, i) relationships versus the magnitude for all datasets discussed in the paper.
