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The connection matrices for macaque and cat cortex were of similar size and density.
Examining large-scale connection matrices for macaque and cat cortex we focus on structural motif distributions and centrality measures of vertices with high degree because of their potential for relating local processing characteristics to global functional interactions and robustness in these networks.
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We used the kinship package in R (Atkinson and Therneau, 2012) to calculate kinship matrices for macaques and for lemurs.
The directed and weighted G29 × 91 connectivity matrix for the macaque will be valuable for comparison with connectivity analyses in other species, including humans.
(B ) The first and second principal components of this matrix, for example macaque subject N. (C ) The shapes of PC1 and PC2 are consistent across subjects.
Visualization as in Figure 4 of the article that presents results for macaque structural connectivity matrix.
For macaque subjects infected via the mucosal route, the number of variants increases much later, at 24 weeks.
With other groups of macaques, the researchers accelerated the schedule of childhood vaccination to account for macaque babies' speedier development.
For macaque, both CV and FG papillae were used; for human, only CV papillae were used.
This occurred for: macaque CEBPA, macaque HNF4A, macaque FOXA1, and dog ONECUT1.
For each subject, the input data for macaque PCA was decision-locked raw LFP data, stacked across all electrodes from all recording sessions to form a large matrix X. X has dimensions nSingleTrials by nTimebins.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com