Sentence examples for successive data sets from inspiring English sources

With TRICKS, k-space data are shared between successive data sets, which leads to minor temporal interpolation artefacts thus, TRICKS data should be used with care when a rapid signal change is observed (as, for example, during bolus arrival) (Fig. 8).

Out of these successive data sets, we created a pseudo panel data set of under nutrition, crop, livestock and other variables at zonal level.

This study attempts to address these gaps by drawing on successive national census data sets with the following research aims: (i) to describe the main characteristics of the interprovincial migration population in Vietnam; (ii) to capture the trends of interprovincial migration over time; and (iii) to examine correlations between provincial socioeconomic status (SES) and internal migration rates.

After successive filtering of these data sets, we identified 257 unique miRNA genes comprising 55 known and 202 novel genes, which collectively correspond to 324 independent genomic loci (Additional file 3).

The first step I took is to fit independent data sets from successive years.

To establish an operational motif we first constructed an HMM based on a training dataset of ORFs from genomes of Mollicutes that contained a previously reported 25-residue amino acid sequence pattern [ 15], then refined the HMM using iterations of data sets expanded from successive searches of the non-redundant protein sequence database [ 24].

The Neighbor software applied the neighbor-joining (NJ) method [ 101] to the resulting multiple data sets, building trees through the successive clustering of lineages.

Simulated deletions are introduced into the data sets where the number of successive spacers being deleted is randomly chosen from the observed distribution of deletion length in the respective data set (supplementary table S1, Supplementary Material online).

Table 2 shows the incremental performance in terms of area under the ROC curve as successive variables are added to the models in both data sets.

In more complex data sets however, the differences measured between two successive time points may have been caused by the firing of more than one transition.

It evaluates the strength of association for each feature (transcript) by performing successive "leave one sample out" experiments and determines how many of the resample data sets exhibit non-zero correlations between transcript level and birth weight.