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# This code comes from NIDAP 'Metadata Table [scRNA-seq][CCBR]' code template https://nidap.nih.gov/workspace/vector/templates/ri.vector.main.template.51ea15ce-2be0-415f-902b-3c86175eb6cd | ||
# Documentation https://nidap.nih.gov/workspace/notepad/view/ri.notepad.main.notepad.53192624-dba0-4e63-9cbb-9bec776ede47 | ||
# Example https://nidap.nih.gov/workspace/vector/view/ri.vector.main.workbook.00e7a393-4cd7-4f20-bdd2-1c1c0cfd1ea2?branch=master | ||
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#' Extracting cell identities from the meta.data slot of Seurat-class object | ||
#' | ||
#' Returns tabulation of cell identities present in the orig_ident column | ||
#' | ||
#' It is recommended to run this function after doing SingleR annotations and before doing any visualizations/downstream analysis that requires inputting sample names. | ||
#' | ||
#' @param SO Seurat-class object | ||
#' | ||
#' | ||
#' @export | ||
#' @return A table (data.frame) with the number of cells per each sample name (column names) | ||
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SampleNames <- function(SO) { | ||
# extract metadata table and sample names | ||
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cat("\n Extracting Sample Names from metadata table: ") | ||
if ("meta.data" %in% slotNames(SO)) { | ||
if ("orig.ident" %in% colnames(SO@meta.data)) { | ||
dim.df <- | ||
as.data.frame(t(as.matrix(table( | ||
SO@meta.data$orig.ident | ||
)))) | ||
} else { | ||
dim.df <- | ||
as.data.frame(t(as.matrix(table( | ||
SO@meta.data$orig_ident | ||
)))) | ||
} | ||
colnames(dim.df) <- | ||
lapply(colnames(dim.df), function(x) | ||
gsub(".h5", "", x)) | ||
} else { | ||
if ("orig.ident" %in% colnames(SO$RNA@meta.data)) { | ||
dim.df <- | ||
as.data.frame(t(as.matrix( | ||
table(SO$RNA@meta.data$orig.ident) | ||
))) | ||
} else { | ||
dim.df <- | ||
as.data.frame(t(as.matrix( | ||
table(SO$RNA@meta.data$orig_ident) | ||
))) | ||
} | ||
dim.df <- | ||
as.data.frame(t(as.matrix(table( | ||
SO$RNA@meta.data$orig.ident | ||
)))) | ||
colnames(dim.df) <- | ||
lapply(colnames(dim.df), function(x) | ||
gsub(".h5", "", x)) | ||
} | ||
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# output data.frame | ||
cat(sprintf("%g sample names returned", ncol(dim.df))) | ||
return(dim.df) | ||
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} |
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