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Is there a way to calculate SCT scale data of all features, separately?
So I integrate 5 objects using 5000 features, however, many genes are thus still unaccounted for in the [["SCT"]]@scale.data. Which is annoying for downstream analyses using DoHeatmap for example.
Even if I use the all_features setting, it does not seem to include features that have zero counts in one of the 5 objects.
The text was updated successfully, but these errors were encountered:
NicolaasVanRenne
changed the title
PrepSCTIntegration: The following x features do not exist in the counts slot:
missing features in SCT scale data of integrated object
May 23, 2020
Hi,
You are right. Pearson residues cannot be calculated for the genes that have zero counts across all cells within one individual object. But for the downstream analysis such as heatmap, you can use scale.data in RNA assay.
Is there a way to calculate SCT scale data of all features, separately?
So I integrate 5 objects using 5000 features, however, many genes are thus still unaccounted for in the [["SCT"]]@scale.data. Which is annoying for downstream analyses using DoHeatmap for example.
Even if I use the all_features setting, it does not seem to include features that have zero counts in one of the 5 objects.
The text was updated successfully, but these errors were encountered: