Sentence examples for ratio of correlation from inspiring English sources
To quantitatively describe the interplay of surface roughness and film thickness, we introduced two roughness characteristics: the ratio of film thickness to the surface's root-mean-square roughness (h/σ), and a surface-pattern parameter, defined as the ratio of correlation lengths in two orthogonal directions.
The ratio of correlation is denoted as T, and calculated as T = X/ Y.
We use the ratio of correlation of one stage relative to the other stage for measuring the co-expression change of a gene pair.
This analysis also showed that as TFs have more TGs the ratio of correlation of the expression of the TFs with its TGs compared to all genes converges to one.
The analytical distribution of the ratio of correlation is described as follows: (8) where t is the value of variant T, f XY (x, y) is the joint probability density of X and Y.
Our analyses also revealed that as TFs have more TGs the ratio of correlation of the expression of the TFs with its TGs compared to all genes converges to one.
For a given gene, its analytical distribution of the ratio of correlations formed by all other genes pairing this gene, is treated as a background to assess the significance of the observed values of the ratio of correlations.
The ratios of correlation times for different CH vectors in the chain backbone match experiment very well.
The ratio of the correlation time in region 3 to the correlation time in region 4 was found to be 0.883 ± 0.055 using the MESI technique, while this ratio was estimated to be 0.889 ± 0.019 using the LSCI technique.
Under baseline conditions, the ratio of the correlation time in region 1 to the correlation time in region 2 was found to be 0.6238 ± 0.0238 using the MESI technique, while this ratio was estimated to be 0.3771 ±0.0215 using the LSCI technique.
The estimated responsivity offset in matrix B2 is given by the responsivity offset o1 in matrix B1 and the correlated responsivity offsets CROs and is again modified by the ratio of the correlation coefficients (R1/ R1/.
