View source: R/normalize_filter.R
genefilter_pofa_counts | R Documentation |
I keep thinking this function is pofa... oh well. Of the various tools in genefilter, this one to me is the most intuitive. Take the ratio of counts/samples and make sure it is >= a score.
genefilter_pofa_counts(count_table, p = 0.01, A = 100)
count_table |
Input data frame of counts by sample. |
p |
Minimum proportion of each gene's counts/sample to be greater than a minimum(A). |
A |
Minimum number of counts in the above proportion. |
Dataframe of counts without the low-count genes.
[genefilter::pOverA()]
## Not run:
filtered_table = genefilter_pofa_counts(count_table)
## End(Not run)
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