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Doing operations on layers with same number of features and cells results in missing feature overlap issue (seuratv5 branch):
set.seed(seed = 1) dummyexpMat <- matrix( data = sample(x = c(1:50), size = 1e4, replace = TRUE), ncol = 100, nrow = 100 ) colnames(x = dummyexpMat) <- paste0("cell", seq(ncol(x = dummyexpMat))) row.names(x = dummyexpMat) <- paste0("gene", seq(nrow(x = dummyexpMat))) # Create Seurat object for testing obj <- CreateSeuratObject(counts = as.sparse(dummyexpMat)) obj <- NormalizeData(object = obj, verbose = FALSE) obj <- ScaleData(object = obj, verbose = FALSE) Warning: No layers found matching search pattern provided Error: No feature overlap between existing object and new layer data
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Doing operations on layers with same number of features and cells results in missing feature overlap issue (seuratv5 branch):
The text was updated successfully, but these errors were encountered: