fitData
fitData.Rd
Fit single cell gene expression data according to cell pseudotime
Usage
fitData(
data,
pt = 1:ncol(data),
expr.cut = 0.1,
expr.cut.rate = 0.05,
pseudo.time = colnames(data),
p.adjust.method = "BH",
new_data = data.frame(pt = seq(1, ncol(data))),
verbose = TRUE,
mc.cores = 1
)
Arguments
- data
a single cell expression matrix with rows as genes and columns as cells.
- expr.cut
cutoff of lowerest expression
- expr.cut.rate
cutoff of cells lower than lowest expression
- pseudo.time
cells ranked according to pseudo time
- p.adjust.method
method for multiple hypothesis test
- new_data
input matrix for model prediction
- verbose
show message of running process
- mc.cores
number of cores for parallel computing