View source: R/featureFiltering.R
filterLowPrev | R Documentation |
Filter Low Prevalence Features
filterLowPrev(
dataset = NULL,
top = NULL,
min_prevalence = NULL,
prev_prop = NULL,
silent = F
)
dataset |
MicroVis dataset (mvdata object) |
top |
(Optional) Top n number of features to be kept based on prevalence. Specifying a value for this will override the min_prevalence value. |
min_prevalence |
(Optional) (Default) Prevalence threshold. Features with prevalence lower than this threshold will be filtered out. |
prev_prop |
(Optional) Minimum percent of samples that a feature must be be present in for it to be kept. Overrides top and min_prevalence values |
silent |
Argument that is ultimately passed onto runSampleFilter(), runNormalization(), and runFeatureFilter(), telling them not to output any messages. |
MicroVis dataset (mvdata object) with updated low prevalence filtering parameters.
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