Sentence examples for state datasets from inspiring English sources

The first two images were removed from all resting state datasets.

Other chromatin state datasets, including from the female lymphoblast cell line GM12878, show a shift towards more active promoters, but regardless of the dataset used, the bulk of the X chromosome is comprised of states reflecting transcribed and repressed chromatin.

Unless otherwise stated, datasets were analyzed with the R statistical programming language using programs maintained as part of the Bioconductor suite [ 43].

In Figs. 9 and 10, we present NMSE and PSNR results for five subjects each of task-based dataset and resting-state dataset, respectively.

Next, the proposed methodology is demonstrated and evaluated through application to a real engineering structure – a Piper Tomahawk trainer aircraft wing – with its performance compared to classifiers trained using the full damaged-state dataset.

Likewise, Fig. 4 shows one of the reconstructed brain slices of resting-state dataset (Baltimore dataset) using the proposed Optshrink LR + S and the existing LR + S [15] method.

A study using Granger causality on a resting-state dataset revealed increased effective connectivity of this connection in SAD patients (Liao, Qiu et al. 2010b).

The resting-state dataset consisted of the first 60 participants (41 females, age ranges: 4 between 22 and 25 years, 23 between 26 and 30 years and 33 between 31 and 35 years) of the WU-Minn Human Connectome Project (HCP) (Van Essen et al., 2013).

This was the first time in Victoria that a large EMS dataset has been linked to the state hospital datasets, it was also the first time that a large EMS trauma dataset has been linked to the VSTORM dataset.

Since both resting-state fMRI dataset (Baltimore dataset) and task-based fMRI dataset (false belief fMRI dataset) are fully sampled, we simulated undersampled k-space data ({mathbf{Y }}) in (2) by computing the Fourier transform of Casorati matrix ({mathbf{X }}) and then, retrospectively undersampling in the k-space using measurement matrix ({mathbf {Phi }}).

Figure 4 illustrates the advantage of wavelet transforming resting state fMRI datasets: the entropy in the image domain is much larger than that in the wavelet domain.