Sentence examples for dependent datasets from inspiring English sources

To study more complicated dependency situations, we generated dependent datasets with random dependence effect [ 8] as follows, where ρ is the correlation constant (here we set ρ = 0.5) which determines the correlation coefficient between genes.

Numerical data are expressed as the mean±S.E.M. Student's t test and Mann–Whitney U test were used for the comparison of two independent datasets with and without normal distribution, respectively, whereas paired t test was performed for comparison of two dependent datasets.

The dependent dataset has been generated by selecting among the 41 groundwater samples those with nitrate concentration above the screening value of 37 mg/L imposed by the Water Framework Directive (EU 2000).

Based on these classifications, all condition-independent datasets are referred to as 'citrus' while condition-dependent datasets including sweet orange–,fruit–, leaf– and stress– associated datasets will henceforth be referred to as 'csin', 'fruit', 'leaf' and 'stress', respectively.

'Citrus' represents all datasets (condition-independent) used in this study while 'Csin', 'Fruit', 'Leaf' and 'Stress' represent condition-dependent datasets of sweet orange–,fruit–, leaf– and stress– only conditions respectively.

This ligand-dependent dataset contains 9275 known binding sites and is referred to as the ligCav dataset.

Any time-dependent dataset can be analysed to extract time-independent correlations of the observables by using gradient or direct search methods.

We apply this approach to the density-dependent dataset (λ∝ density, Eq. 7).

Patients who contributed information in both eras were represented by at least two records in the time-dependent dataset.

The resulting resampled dependent variable datasets were analyzed using the full model.

This evaluates whether the similarities of gene expression observed within each time series are dependent across datasets.