In short the moe object is created by SCT and integrating multiple runs of 10X. (I've removed the SCT and RNA assays as their cell count was previously not matching) moe An object of class Seurat 3000 features across 59824 samples within 1 assay ...
gao2018_SI <- AddMetaData(object = gao2018_SI, metadata = "gao2018_SI", col.name = 'data.source') hemivt An object of class Seurat 22241 features across 13592 samples within 1 assay Active assay: RNA (22241 features) gao2018_SI ...
They are all in my assay except three of the genes setdiff(tnbclist[[1]], rownames( immune.combined[['RNA']] ) ) [1] "DEPP1" "RP11-48O20.4" "CTD-2314B22.3" yuhanH commentedon Jul 27, 2021 yuhanH yuhanH added more-information-neededWe need more information before this can be ...
I passed an integrated SingleCellExperiment object to Seurat by as. seurat funtion with counts = NULL. However, FindVariableFeatures function cannot allocate vector of size 2.1 Gb (6 batches of scRNAseq data). It works well when aggregating 2 batches of scRNAseq data only. In this regard, ...