Sentence examples for dataset distributions from inspiring English sources

Individual dataset distributions split by 24 brain-related datasets, 14 blood, 5 liver, 3 fat and 7 other tissue datasets are shown in [Additional file 11].

The chi-squared test was employed to compare the observed numbers of plasmid-encoded orphans, pairs, triads and tetrads, with those expected from whole dataset distributions.

BMI z scores and onset variables were derived from imputed BMI within each dataset; distributions were similar for observed and imputed values.

Indeed, Fig. 6d shows that there is a strong correlation between magnitude and PGTA (or PGRV), whereas, for the other datasets, the magnitudes are better "distributed" along the whole dataset distribution (see Fig. 3).

We accessed this dataset (Distribution 7.0) from http://www.nimhgenetics.org/ through NIMH approval.

In the primary (unfiltered) dataset, distribution of correlation coefficients for β2 log2MRIPA was distinctly bimodal, with a major mode occurring between 0 and −0.5, and a minor mode occurring between 0.25 and 0.75.

The dataset distribution of mutational changes was as follows: transition-type mutations (where a purine is substituted for a purine or pyrimidine for a pyrimidine) made up 74.8% of sequences identified as exonic and 67.8% of sequences identified as intronic.

By comparing vPhenotype levels across such a dataset, frequency distributions of the various resistance levels may be constructed, revealing a profile of the resistance generally experienced by patients during drug treatment.

Since the processing, tomographic reconstruction and post-processing was equivalent for each mouse dataset, the distributions can be assumed quantitatively comparable among each other.

For the UP-70 L dataset, the distributions of tree topology similarity categories for positive and negative datasets are similar for the variants used, ranging from usage of complete MSA to MSA containing only ungapped columns (data not shown).

In our dataset this distribution is statistically compatible with a Gaussian distribution with a coefficient of variation of approximately 8% (standard deviation/mean =0.08).