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Sinks use these matrices to take role in point selection process.
Accordingly, we proceed as follows: after computing S+ and S−, we use these matrices to detect potentially explainable edges.
Software such as the MEME suite [ 27] and MOODS [ 28] can use these matrices to scan new sequences for regions that match the PWM, typically using a certain score threshold to call a site.
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After every relative camera position is found, the scheme uses these matrices to reconstruct all feature points using triangulation.
We used these matrices to conduct sensitivity and elasticity analyses following Caswell [ 12].
We used these matrices to infer trees with the Neighbor-Joining (NJ) reconstruction algorithm implemented in the PHYLIP package [ 66].
Here we extend the use of these matrices to better annotate the proteins of other apicomplexa like Plasmodium berghei, Plasmodium chabaudi, Plasmodium knowlesi, Plasmodium vivax, Plasmodium yoelii yoelii, Toxoplasma gondii, Cryptosporidium parvum, Theileria parva and Neospora caninum.
We used these distance matrices to compute the disparity (mean ecological distance) within all extant subclades at each time step, marked by node ages (Fig. S1 in Appendix S1).
Traditionally, Gotoh use three matrices to track these values; however, it is not intercessory in the reconfigurable mesh computing model since each cell in the matrix is a processing node with local memory.
Let us use a matrix to represent a network.
We use these two scatter matrices to measure the variability within/between the center and surrounding regions which are defined in Section 3.1.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com