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Then, the obtained natural frequencies by these matrices are compared with the available literature.
In this section, the performance of the proposed and the existing DCT matrices are compared in terms of hardware cost and computing time.
To evaluate this similarity, the precision between LIT and AMBCA (symmetrized) matrices are compared against 1000 random matrices created by shuffling the brain region names in the same way for rows and columns.
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λ's calculated from the aerial and ground derived matrices were compared using randomization tests.
The ordination patterns obtained with Principal Coordinate Analysis for the different matrices were compared using Procrustes analyses.
The properties of the connectivity matrices were compared to the matrices obtained using the mean cortical thickness for the same cortical parcellations.
Because OPN is involved in ECM/integrin signaling, and may participate in proliferative control, the proliferation profiles of control and allylamine vSMCs seeded on different matrices were compared.
These distance matrices were compared using a Mantel t-test.
Resulting matrices were compared with FlyReg matrices using the Kullback-Leiber distance [17].
The correlations between the craniometric, geographic and temporal matrices were compared statistically using Mantel matrix correlations [68].
Mantel's test randomly reorders the rows and columns of one of the two correlation matrices being compared and recalculates the matrix correlation between the two matrices [44].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com