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Besides, he defines five matrix types ('canonical data patterns') with quantitative cells, which may serve as a good initial set of matrices for testing permutation methods.
QTL mapping using a variance component approach requires identity-by-descent (IBD) relationship matrices as variance-covariance matrices for testing QTL effects at each genetic position.
In this context, this work aims to initiate a rigorous and comprehensive review of the similar problem formulations in robust subspace learning and tracking based on decomposition into low-rank plus additive matrices for testing and ranking existing algorithms for background/foreground separation.
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To construct the graph Laplacian matrix for testing the Logit-Lapnet method on breast cancer data, networks of protein-protein interactions (PPI) identified by two-hybrid screening in Homo sapiens were obtained from The Biological General Repository for Interaction Datasets (BioGRID, version 3.2.98) http://www.thebiogrid.org.org
As stated in the methods section, two different morphological data matrices were assembled for testing the impact of morphological data sets on the combined analysis.
RBAC similarity as a test minimization criterion and parallel algorithms to calculate similarity matrices for test prioritization could boost up similarity testing but this is out of the scope of this study and left as future work.
However, in these methods the gene expression data matrices for test samples from one experiment are not compared to the control samples from another experiment.
In both cases the specifications of the chosen weight matrix are important for testing the statistical significance of a particular parameter.
Then, we split the sub-trajectory database to two parts, one for training Markov transition matrix and the other for testing the effectiveness of our algorithm.
This system was ideal for testing matrix-dependent mechanical regulation of adhesion formation.
Thus, the homogeneity of correlations was tested by calculating the matrix of p-values for testing the hypothesis of no correlation against the alternative that there is a nonzero correlation.
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