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I really appreciate this work, this is really insightful. I have been trying to run this code with the following commands:
markers <- Detect_single_marker(donor1, id = "pro-B cell", category = "Flow", org = "Human")
This commands gives following output
So top genes for pro-b cells are: DNTT, VPREB1
But when I run this command i.e for all the cell types
all.markers <- Detect_single_marker_all(donor1, category = "Flow", org = "human")
This command gives following output for pro-b cells
In this case top genes are different. I will really appreciate if you can help me in understanding this difference in output for the same cell type but with different commands.
Thanks!!
The text was updated successfully, but these errors were encountered:
I really appreciate this work, this is really insightful. I have been trying to run this code with the following commands:
![image](https://user-images.githubusercontent.com/23184365/234060941-a23e43e0-4793-4036-a168-c29766c501d8.png)
markers <- Detect_single_marker(donor1, id = "pro-B cell", category = "Flow", org = "Human")
This commands gives following output
So top genes for pro-b cells are: DNTT, VPREB1
But when I run this command i.e for all the cell types
all.markers <- Detect_single_marker_all(donor1, category = "Flow", org = "human")
This command gives following output for pro-b cells
In this case top genes are different. I will really appreciate if you can help me in understanding this difference in output for the same cell type but with different commands.
Thanks!!
The text was updated successfully, but these errors were encountered: