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May I know why the color of communication probability change when we plot all signals vs one signal? Is that color of each signal affect the overall color? In this case, when I plot all signals, the PGF2a-CBR1-PTGFA has no different between 2 conditions. However, when I plot only this signal, the color is very different. So I can conclude PGF2a-CBR1-PTGFA signal is different between 2 condition or not? Thank you so much!
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@Chrisdoan9 Yes, the colors are assigned based on the relative values in the plot. You can further check the expression levels of this L-R between the two conditions
Hi @sqjin. Thank you for your help! I got it. Cellchat has this function to check gene expression but it is not directly compare between conditions plotGeneExpression(cellchat, signaling = "CXCL", enriched.only = TRUE, type = "violin")
It is hard to tell control (top figure) express more ligand-receptor gene than disease (bottom figure).
Hi all,
May I know why the color of communication probability change when we plot all signals vs one signal? Is that color of each signal affect the overall color? In this case, when I plot all signals, the PGF2a-CBR1-PTGFA has no different between 2 conditions. However, when I plot only this signal, the color is very different. So I can conclude PGF2a-CBR1-PTGFA signal is different between 2 condition or not? Thank you so much!
The text was updated successfully, but these errors were encountered: