View source: R/coverage_filters.R
filterExtremePeakGenes | R Documentation |
For removing very extreme peaks in coverage plots, use high quantiles, like 99. Used to make your plots look better, by removing extreme peaks.
filterExtremePeakGenes(
tx,
reads,
upstream = NULL,
downstream = NULL,
multiplier = "0.99",
min_cutoff = "0.999",
pre_filter_minimum = 0,
average = "median"
)
tx |
a GRangesList |
reads |
a GAlignments or GRanges |
upstream |
numeric or NULL, default NULL. if you want window of tx, instead of whole, specify how much upstream from start of tx, 10 is include 10 bases before start |
downstream |
numeric or NULL, default NULL. if you want window of tx, instead of whole, specify how much downstream from start of tx, 10 is go 10 bases into tx from start. |
multiplier |
a character or numeric, default "0.99", either a quantile if input is string[0-1], like "0.99", or numeric value if input is numeric. How much bigger than median / mean counts per gene, must a value be to be defined as extreme ? |
min_cutoff |
a character or numeric, default "0.999", either a quantile if input is string[0-1], like "0.999", or numeric value if input is numeric. Lowest allowed value |
pre_filter_minimum |
numeric, default 0. If value is x, will remove all positions in all genes with coverage < x, before median filter is applied. Set to 1 to remove all 0 positions. |
average |
character, default "median". Alternative: "mean". How to scale the multiplier argument, from median or mean of gene coverage. |
GRangesList (filtered)
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