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Difference in top genes in same cells using Detect_single_marker and Detect_single_marker_all commands #1

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SmritiChawla opened this issue Apr 24, 2023 · 0 comments

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@SmritiChawla
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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
image

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

image

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!!

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