View source: R/Read10X_RemoveDoublets_Norm.R
Read10X_RemoveDoublets_Norm | R Documentation |
This function allows you to Read 10X data, remove doublets, perform normalizationa and identify variable genes.
Read10X_RemoveDoublets_Norm( matrix.DIR, saveDIR, Sample, Doublet.DIR, Species = "hsa", DoubletAlgo = "DoubletFinder", mincells = 3, mingenes = 500, mtpercent = 20, rbpercent = 50, FeatureUseCount = 2500, PCAnum = 10, resClus = 0.5, plots = TRUE, save = TRUE )
matrix.DIR |
Path to 10X directory |
saveDIR |
Path to save Quality plots and RDS data. |
Sample |
Sample Name. |
Doublet.DIR |
Path to Doublet.DIR directory (List of cells already called doublets) |
Species |
Species Name. Valid options are hsa or mmu |
DoubletAlgo |
Algorithm(s) used for doublet detection. Valid options are "DoubletFinder" for DoubletFinder and "DoubletDeconFinder" for DoubletFinder+DoubletDecon |
mincells |
Include features detected in at least this many cells. Will subset the counts matrix as well. To reintroduce excluded features, create a new object with a lower cutoff. |
mingenes |
Include cells where at least this many features are detected. |
mtpercent |
Include cells reporting at most this much mitochondrial transcript percentage. |
rbpercent |
Include cells reporting at most this much ribosomal transcript percentage. |
FeatureUseCount |
Number of features to select as top variable features; only used when selection.method is set to 'dispersion' or 'vst' |
PCAnum |
Number of PCs to be used |
resClus |
Resolution to be used for clustering |
plots |
Save QC plots |
save |
Save RDS Seurat object |
Read10X_RemoveDoublets_Norm()
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