Single cell RNA-seq preprocessing tool for gene-by-cell matrices of UMI counts. It is recommended to use the raw spliced and unpliced counts matrices produced by scKB pipeline as the input of copilot.
Hi Hsu-Che-Wei!
I am using the COPILOT pipeline, but I have a little problem with the ipynb format file, in the "1-Correlation_Based_Annotation" file in the ln[18] some lines can't be copied
The correct code are like these?
Store the annotation, correlation coefficient and the p-value in Seurat object
Hi Hsu-Che-Wei! I am using the COPILOT pipeline, but I have a little problem with the ipynb format file, in the "1-Correlation_Based_Annotation" file in the ln[18] some lines can't be copied
The correct code are like these?
Store the annotation, correlation coefficient and the p-value in Seurat object
seu@meta.data$celltype.ID.P <- as.character(celltype_ident) seu@meta.data$timezone.ID.P <- as.character(time_ident) seu@meta.data$celltype.cor.P <- celltype_max seu@meta.data$timezone.cor.P <- time_max seu@meta.data$celltype.pvalue.P <- celltype_maxp seu@meta.data$timezone.pvalue.P <- time_maxp
In case there is cell with insufficient information for annotation, label them as "unknown"
seu@meta.data$celltype.ID.P[which(seu@meta.data$celltype.ID.P=='character(0)')]="unknown" seu@meta.data$timezone.ID.P[which(seu@meta.data$timezone.ID.P=='character(0)')]="unknown"
Best!