Description Usage Arguments Value Examples
View source: R/CNV_Calculator.R
CNV_Simulator Function infers CNV profiles of cells in terms of posterio probability based on a fitted two-component Gaussian Mixture Model over the log2(CPM/10+1) expression matrix
1 2 3 4 5 6 7 | CNV_Simulator(
ExprMat,
minUMIs = 10,
minCells = 1,
minGenes = 100,
repetitions = 8
)
|
ExprMat |
A genes X cells expression matrix of log2(CPM/10+1) scaled scRNA-seq counts |
minUMIs |
Minimal UMI counts for a gene to be kept over all cells (default = 10) |
minCells |
Minimal expressed cell number for a gene to be kept over all cells (default = 1) |
minGenes |
Minimal region size in terms of genes number within the region (default = 100) |
repetitions |
Loop number of fitting to a GMM to obtain an optimal Gaussian mixture model |
a matrix of posterior probabilities as CNV estimates
1 |
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