prot.filter_missing | R Documentation |
prot.filter_missing
filters a proteomics dataset based on missing values. Different types of filtering can be applied, which range from only keeping proteins without missing values to keeping proteins with a certain percent valid values in all samples or keeping proteins that are complete in at least one condition.
prot.filter_missing(
se,
type = c("complete", "condition", "fraction", NULL),
thr = NULL,
min = NULL
)
se |
|
type |
(Character string) "complete", "condition" or "fraction", Sets the type of filtering applied. "complete" will only keep proteins with valid values in all samples. "condition" will keep proteins that have a maximum of |
thr |
(Integer) Sets the threshold for the allowed number of missing values in at least one condition if |
min |
(Numeric) Sets the threshold for the minimum fraction of valid values allowed for any protein if |
A filtered SummarizedExperiment object.
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