Sentence examples for cluster intensity from inspiring English sources

In this study, we investigate the modeling of individual cluster intensity distribution of the subband coefficients, within the context of a joint scene and signal modeling.

Hatt et al.'s method still differs from GCM in that it uses fuzzy levels and a variety of cluster intensity distribution models, which may explain their use of only 3 hard classes.

Figure 4A shows a comparison of the standardized cluster intensity distribution between human and insect stages.

This relative intensity was calculated by dividing the cluster intensity value by the sum of all cluster intensity values from the same nucleus, thereby converting the intensity to a fraction of the whole cell intensity.

R statistical software (version 2.5.0) was used to cluster intensity ratios and validate the cut-offs of the discrete copy number genotypes.

It is possible that the decrease in cluster intensity reflects a difference in probe accessibility due to more compact heterochromatin in the periphery compared to more relaxed and accessible euchromatin in central regions.

This step made it possible to compare cluster intensities between different cells.

A comparison of cluster intensities shows that there is a reorganization of the nucleus when the parasites differentiate from one stage to the other, with cluster intensities being more homogeneous in the human stage.

For proper comparison of the data from human and insect stages, the measured cluster intensities of each population were standardized by subtracting their respective population mean value, then dividing by their respective population standard deviation.

For a proper comparison of the data from populations in the human or insect stages, the measured cluster intensities of each population were standardized by subtracting their respective population mean value, and dividing by their respective population standard deviation.

Cluster intensities and noise estimates were used in the analysis.