Sentence examples for iterative correlation from inspiring English sources
To define signatures of highly correlating genes, an iterative correlation analysis was performed yielding clusters of genes, in which all genes in a cluster had an average correlation coefficient above 0.90 with all other genes in the set.
Moreover, GOBO offers the possibility of investigation of gene expression levels in breast cancer subgroups and breast cancer cell lines for gene sets, as well as creation of potential metagenes based on iterative correlation analysis to a prototype gene.
The list of co-expressed genes can be further submitted to iterative correlation analysis, identifying which of the co-expressed genes that show tight co-expression with each other in an iterative process across the selected data set.
When subjected to iterative correlation analysis one by one, all 35 genes showed at least 5 connections (Pearson correlation >0.6) with other highly co-expressed genes (Figure 4A, visualized using Cytoscape [42]).
The software uses iterative cross correlations to locate the forward scattered beam position and to find the coordinates of the diffraction spots.
The authors developed a stochastic model updating method integrating distance discrimination analysis (DDA) and advanced Monte Carlo (MC) technique to (1) enable more efficient MC by using a response surface model, (2) calibrate parameters with an iterative test-analysis correlation based upon DDA, and (3) utilize and compare different distance functions as correlation metrics.
For iterative decoding, the correlations between the decoded bits increase with the number of iterations.
The iterative method labelled correlation-based tuning (CbT) is considered in this paper for tuning linear time-invariant multivariable controllers.
An iterative data-driven correlation-based method has been proposed recently to tune multivariable linear time-invariant controllers in closed-loop operation.
We did not use any post filtering as modelling the PSF during the iterative reconstruction introduces correlations between neighbouring voxels in a manner similar to smoothing filters and thus has been shown to achieve maximal performance with little to no filtering [18].
In the previously proposed iterative algorithm, the spatial correlation length of the noise is supposed to be known.
