simu_DE | R Documentation |
Simulate count data for differential expression analysis using SCRIP
simu_DE( expre_data, params, nGenes = NULL, nDE, ncells = NULL, FC, Dropout_rate = NULL, libsize = NULL, pre.bcv.df = NULL, bcv.shrink = 1, seed = 2021 )
expre_data |
data matrix required for simulation |
params |
SplatParams object containing parameters for the simulation |
nGenes |
number of genes simulated |
nDE |
number of differentially expressed genes simulated |
ncells |
number of cells simulated |
FC |
fold change rate simulated between two groups |
Dropout_rate |
factor to control the dropout rate directly |
libsize |
library size used for simulation |
pre.bcv.df |
BCV.df enables us to change the variation of BCV values |
bcv.shrink |
factor to control the BCV levels |
seed |
seed for simulation |
SummarizedExperiment files from both groups for DE analysis and DE genes index
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