View source: R/epiprofile_utils.R
get_hPTM_FC | R Documentation |
Calculate summary stats across all samples for each hPTM and calculate hPTM are log2 Fold Change relative to control sample
get_hPTM_FC(data, Pseudocount = 1, Reference_Sample_Name)
data |
Tibble imported with |
Pseudocount |
Number. By default adds 1 pseudo count to the |
Reference_Sample_Name |
name of the reference sample to be used for area log2 FC (e.g. WT/untreated condition) |
A tibble
read_EpiProfile_histone_ratio("path/to/histone_ratio.xls") |>
tidy_hPTMs() |>
get_hPTM_FC(Reference_Sample_Name = 'WT_1_DIA')
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