I'm currently working on a single-cell dataset and I have a merged Seurat object:
An object of class Seurat
22798 features across 1342 samples within 1 assay
Active assay: RNA (22798 features, 2000 variable features)
11 layers present: counts.d3, counts.d4, counts.d5, counts.d6, counts.d7, data.d3, data.d4, data.d5, data.d6, data.d7, scale.data
2 dimensional reductions calculated: pca, umap
I'm trying to merge the count layers and data layers so I have a single count layer and a single data layer so I can integrate my data.
However, when I run JoinLayers, I am left with one layer, and when I try and perform split(), I get this error:
Error in validObject(object = object) :
invalid class “Assay5” object: Layers must be two-dimensional objects
I'm currently working on a single-cell dataset and I have a merged Seurat object:
An object of class Seurat 22798 features across 1342 samples within 1 assay Active assay: RNA (22798 features, 2000 variable features) 11 layers present: counts.d3, counts.d4, counts.d5, counts.d6, counts.d7, data.d3, data.d4, data.d5, data.d6, data.d7, scale.data 2 dimensional reductions calculated: pca, umap
I'm trying to merge the count layers and data layers so I have a single count layer and a single data layer so I can integrate my data. However, when I run JoinLayers, I am left with one layer, and when I try and perform split(), I get this error:
Error in validObject(object = object) : invalid class “Assay5” object: Layers must be two-dimensional objects
How do I go about this?