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roryk avatar roryk commented on June 14, 2024 3

Sorry @carmensandoval, I forget exactly what it was but it was some problem with my data though not the function. I think I had not logged the data before making the Seurat object.

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lihong1github avatar lihong1github commented on June 14, 2024 2

I found the solution to this issue. If you normalize the data first using the "NormalizeData" function as shown below, it will fix this error.

seurat.object <- NormalizeData(
object = seurat.object,
normalization.method = "LogNormalize",
scale.factor = 10000)

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roryk avatar roryk commented on June 14, 2024

Figured out my issue. Thanks!

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carmensandoval avatar carmensandoval commented on June 14, 2024

HI Roryk,

I'm having the same problem... what solved it for you in the end?

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azimmunivar avatar azimmunivar commented on June 14, 2024

I'm also having an issue with this. Did anyone get to the bottom of it?

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roryk avatar roryk commented on June 14, 2024

@azimmunivar I forgot to log the data which caused the issue. Did you do that?

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marong0511 avatar marong0511 commented on June 14, 2024

@roryk I am also having an issue with this. Did you deal with UMI data? I did normalize data before running this.
I found when I scaledata with a linear model (default setting), everything goes well. But when I used 'negbinom' model to deal with UMI data, it goes wrong in Findvariablegenes with the same error you mentioned before.

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