SubsetData {IRISFGM} | R Documentation |
This function is used for filtering out low-quality data based on previous result generated from PlotMeta
SubsetData(object, ...) .subset_data( object, nFeature.upper = Inf, nFeature.lower = -Inf, Counts.upper = Inf, Counts.lower = -Inf ) ## S4 method for signature 'IRISFGM' SubsetData( object, nFeature.upper = Inf, nFeature.lower = -Inf, Counts.upper = Inf, Counts.lower = -Inf )
object |
input IRIS-FGM object |
... |
other arguments passed to methods |
nFeature.upper |
select upper limit for number of feature |
nFeature.lower |
select lower limit for number of feature |
Counts.upper |
select upper limit for number of UMI counts |
Counts.lower |
select lower limit for number of UMI counts |
it will filter out some cell regarding threshhold.
# Use Yan's data which posts on github tutorial data("example_object") example_object <- SubsetData(example_object, nFeature.upper=15000, nFeature.lower=8000, Counts.upper=700000, Counts.lower=400000)