| newBASiCS_Data {BASiCS} | R Documentation |
newBASiCS_Data creates a
SingleCellExperiment object from a matrix of expression
counts and experimental information about spike-in genes.
newBASiCS_Data( Counts, Tech = rep(FALSE, nrow(Counts)), SpikeInfo = NULL, BatchInfo = NULL, SpikeType = "ERCC" )
Counts |
Matrix of dimensions |
Tech |
Logical vector of length |
SpikeInfo |
|
BatchInfo |
Vector of length |
SpikeType |
Character to indicate what type of spike-ins are in use.
Default value: |
An object of class SingleCellExperiment.
Catalina A. Vallejos cnvallej@uc.cl
Nils Eling eling@ebi.ac.uk
## Data with spike-ins
# Expression counts
set.seed(1)
Counts <- matrix(rpois(50*10, 2), ncol = 10)
rownames(Counts) <- c(paste0('Gene', 1:40), paste0('ERCC', 1:10))
# Technical information
Tech <- grepl("ERCC", rownames(Counts))
# Spikes input number of molecules
set.seed(2)
SpikeInfo <- data.frame(gene = rownames(Counts)[Tech],
amount = rgamma(10, 1, 1))
# Creating a BASiCS_Data object (no batch effect)
DataExample <- newBASiCS_Data(Counts, Tech = Tech, SpikeInfo = SpikeInfo)
# Creating a BASiCS_Data object (with batch effect)
BatchInfo <- c(rep(1, 5), rep(2, 5))
DataExample <- newBASiCS_Data(Counts, Tech = Tech,
SpikeInfo = SpikeInfo, BatchInfo = BatchInfo)
## Data without spike-ins (BatchInfo is required)
# Expression counts
set.seed(1)
Counts <- matrix(rpois(50*10, 2), ncol = 10)
rownames(Counts) <- paste0('Gene', 1:50)
BatchInfo <- c(rep(1, 5), rep(2, 5))
# Creating a BASiCS_Data object (with batch effect)
DataExample <- newBASiCS_Data(Counts, BatchInfo = BatchInfo)