Questions about gene scores #613
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ArchR and Signac calculate gene scores in different ways. We cannot guarantee that ArchR's gene score is "right" and Signac's is "wrong" for each independent gene but our pretty extensive testing shows that ArchR's default model outperforms more basic models (Fig 2 and Extended Data Figs 6-7 in the manuscript - https://www.nature.com/articles/s41588-021-00790-6). While your exact issue might be a difference in clustering, it seems likely that it is a difference in how the scores are calculated. From the Signac webpage:
ArchR allows you to designate the parameters of the gene score model that you would like to use. I dont know what Signac considers as the "promoter" region though. I would suggest adjusting the parameters of https://www.archrproject.com/reference/addGeneScoreMatrix.html |
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When I was performing Gene Score, I found a problem.
In my data, there is a cluster with high scores on both MS4A1 and CD4.
This is weird because I didn't see this on Signac. In fact, in Signac, there are very few cells with high MS4A1 scores and the distribution is very sporadic.
I think it may be a problem with the use of
addIterativeLSI
parameters. Do you have any suggestions for the use ofaddIterativeLSI
parameters?Currently I use iterations = 2, resolution = c(0.05, 0.1, 0.2, 0.3, 0.4, 0.5, 1), varFeatures = 100000.
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