size_factor | R Documentation |
Different cells have different library sizes. This function calculates the size factor of each cell in the UMI count matrix to capture the variation in cell library size.
size_factor(X, count_slot = NULL)
X |
The class of X can be "matrix", "Seurat" object, or "SingleCellExperiment" object. If X is a matrix, it should be a raw UMI count matrix where each row represents a gene, and each column represents a cell. The genes should be those before feature gene selection. If X is a Seurat object or SingleCellExperiment object, users need to specify where the count matrix is stored in count_slot. |
count_slot |
A string indicating the location of raw UMI count. For Seurat object, it is a slot in "RNA" of "assays"; For SingleCellExperiment object, it is a slot in "assays". Each row represents a gene, and each column represents a cell. The genes should be those before feature gene selection. |
A numeric vector indicating the size factor of the cells. This should be one of the inputs of the function calculate_CDI.
ng <- 100; nc <- 100
set.seed(1)
X <- cbind(
matrix(
c(rnbinom(ng*nc/4, size = 1, mu = 0.1),
rnbinom(ng*nc/4, size = 1, mu = 0.5)),
nrow = ng,
byrow = TRUE),
matrix(
c(rnbinom(ng*nc/4, size = 1, mu = 1),
rnbinom(ng*nc/4, size = 1, mu = 0.5)),
nrow = ng,
byrow = TRUE))
colnames(X) <- paste0('c', seq_len(nc))
rownames(X) <- paste0('g', seq_len(ng))
## Input: matrix
cell_size <- size_factor(X = X)
## Input: SingleCellExperiment object
library(SingleCellExperiment)
sim_sce <- SingleCellExperiment(
list(count = X),
colData = data.frame(Cell_name = colnames(X)),
rowData = data.frame(Gene_name = rownames(X)))
cell_size <- size_factor(X = sim_sce, count_slot = "count")
## Input: Seurat object
library(Seurat)
library(SeuratObject)
sim_seurat <- CreateSeuratObject(counts = as.data.frame(X))
sim_seurat <- AddMetaData(sim_seurat, colnames(X), "Cell_name")
cell_size <- size_factor(X = sim_seurat, count_slot = "counts")
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