blank_filter {structToolbox} | R Documentation |
Filters features based on the features present in blank samples. The median intensity of the samples is compared to the median intensity of the blank samples. Any sample not sufficiently more intense than the blank is removed. This is a wrapper for the blank filter in the PMP package.
blank_filter( fold_change = 20, blank_label = "blank", qc_label = "QC", factor_name, fraction_in_blank = 0, ... )
fold_change |
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blank_label |
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qc_label |
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factor_name |
the column name of sample_meta to use |
fraction_in_blank |
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... |
additional slots and values passed to struct_class |
A struct model object for applying a blank filter
D = iris_DatasetExperiment() M = blank_filter(fold_change=2, factor_name='Species', blank_label='setosa', qc_label='versicolor') M = model_apply(M,D)