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vignettes/introduction.R

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@@ -63,7 +63,7 @@ ggplot(visualization, aes(tPC1, tPC3, color = dn3.trajectories[,2]))+
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ggplot(visualization, aes(tPC1, tPC3, color = dn3.trajectories[,3]))+
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geom_point()+
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ggtitle('Heatmap of distances from trajectory 2')+
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ggtitle('Heatmap of distances from trajectory 3')+
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scale_color_gradientn(colours = c('magenta', 'gold', 'black'))+
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theme_classic()
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vignettes/introduction.Rmd

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@@ -108,7 +108,7 @@ ggplot(visualization, aes(tPC1, tPC3, color = dn3.trajectories[,2]))+
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ggplot(visualization, aes(tPC1, tPC3, color = dn3.trajectories[,3]))+
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geom_point()+
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ggtitle('Heatmap of distances from trajectory 2')+
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ggtitle('Heatmap of distances from trajectory 3')+
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scale_color_gradientn(colours = c('magenta', 'gold', 'black'))+
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theme_classic()
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@@ -157,10 +157,11 @@ clean.df <- smooth.df[!is.na(smooth.df[,1]),]
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heatmap(as.matrix(t(clean.df[,1:12])), Rowv = NA, Colv = NA, scale = 'none', col = cm.colors(12))
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```
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Heatmap shows abundance of measured proteins along the binned trajectory distances.
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**Note 3**: During smoothing some bins may not contain any cells and average values will be NA, because of that we remove these rows `!is.na(smooth.df[,1])`.
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**Note 3**: If option "smooth" is used output will not be bins but cubic smoothed values for single events.
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**Note 4**: If option "smooth" is used output will not be bins but cubic smoothed values for single events.
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## Exporting analysis files
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As a final step, if user wants to export files as csv files, basic R function `write.csv` will store files in the working directory.

vignettes/introduction.html

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