Your English writing platform
Discover LudwigExact(9)
Similarly, the projection target matrix was also reduced to 2D.
A similar relationship also holds for the projection target data, but to a less extent.
Figure 5 shows the dendrogram for the projection target data set.
Open image in new window Fig. 5 Dendrogram generated by hierarchical clustering on the projection target data.
Both experiments showed that spatial locality is stronger in the gene expression data than in the projection target data.
We generated the gene expression correlation matrix and the projection target correlation matrix from the injection site gene expression and projection target data matrices, respectively.
Similar(51)
Since not all genes contribute equally to the correlation with projection targets, we employed greedy strategies to identify subsets of genes that correlate most with the projection targets.
Given that the gene expression and the projection targets are highly correlated, a lot more in-depth analysis in this area could be further pursued.
We showed through visualization and clustering that both the gene expression and the projection targets data demonstrated significant levels of spatial autocorrelation that needs to be accounted for in the integrative analysis.
Similar to the group selection method, we computed a score for each gene in each iteration of the method to capture its effect on the correlation with the projection targets.
However, the projection targets of the recorded neurons were not identified, which is critical given the profound heterogeneity observed among midbrain dopamine neurons.
Write better and faster with AI suggestions while staying true to your unique style.
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