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By dividing this number of matrices by the total size of the random matrix ensemble, we estimate the multiple hypotheses testing corrected significance measure P m for each class and threshold, Figure 3 (see Methods).
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In other words, the number of matrices summation and the number of updates required in (14) and (19) are reduced.
A Bonferroni correction factor of (k n ) was applied, where n = 10 and k equates to the number of matrices under consideration per combination.
This is not remarkable given the number of matrix genes differentially identified in the study.
The drawback with this approach is that it increases the number of matrix comparisons and the storage required.
A recursive procedure is proposed to reduce the number of matrix inversions.
The estimated distribution of matrix cracking stresses is used as statistical input to predict the number of matrix cracks.
Under a certain load, the number of matrix cracks and the length of interfacial debonding are directly measured because of the availability of this transparent glass composite.
In ICA, the third dimension K of the three-way array corresponds to the number of covariance matrices at different lags, or the number of matrix slices derived from a cumulant array.
Through the use of the recursive covariance matrix formulation, the proposed SIC decreases the number of matrix inversions to 1 which then dramatically reduces the computational complexity.
Note that the multiplication with the (N × (N + L -matrix G f reduces the number of matrix rows and hence the information in the system.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com