plot_precision_recall: Plot precision-recall curves

In neurogenomics/EpiCompare: Comparison, Benchmarking & QC of Epigenomic Datasets

Plot precision-recall curves

Description

Plot precision-recall curves (and optionally F1 plots) by iteratively testing for peak overlap across a series of thresholds used to filter peakfiles. Each GRanges object in peakfiles will be used as the "query" against each GRanges object in reference as the subject. Will automatically use any columns that are specified with thresholding_cols and present within each GRanges object to create percentiles for thresholding. NOTE : Assumes that all GRanges in peakfiles and reference are already aligned to the same genome build.

Usage

plot_precision_recall(
  peakfiles,
  reference,
  thresholding_cols = c("total_signal", "qValue", "Peak Score"),
  initial_threshold = 0,
  n_threshold = 20,
  max_threshold = 1,
  workers = check_workers(),
  plot_f1 = TRUE,
  subtitle = NULL,
  color = "peaklist1",
  shape = color,
  facets = "peaklist2 ~ .",
  interact = FALSE,
  show_plot = TRUE,
  save_path = tempfile(fileext = "precision_recall.csv"),
  verbose = TRUE
)

Arguments

peakfiles	A list of peak files as GRanges object and/or as paths to BED files. If paths are provided, EpiCompare imports the file as GRanges object. EpiCompare also accepts a list containing a mix of GRanges objects and paths.Files must be listed and named using list(). E.g. list("name1"=file1, "name2"=file2). If no names are specified, default file names will be assigned.
reference	A named list containing reference peak file(s) as GRanges object. Please ensure that the reference file is listed and named i.e. list("reference_name" = reference_peak). If more than one reference is specified, individual reports for each reference will be generated. However, please note that specifying more than one reference can take awhile. If a reference is specified, it enables two analyses: (1) plot showing statistical significance of overlapping/non-overlapping peaks; and (2) ChromHMM of overlapping/non-overlapping peaks.
thresholding_cols	Depending on which columns are present, GRanges will be filtered at each threshold according to one or more of the following: "total_signal" : Used by the peak calling software SEACR. NOTE: Another SEACR column (e.g. "max_signal") can be used together or instead of "total_signal". "qValue"Used by the peak calling software MACS2/3. Should contain the negative log of the p-values after multiple testing correction. "Peak Score" : Used by the peak calling software HOMER.
initial_threshold	Numeric threshold that was provided to SEACR (via the parameter --ctrl) when calling peaks without an IgG control.
n_threshold	Number of thresholds to test.
max_threshold	Maximum threshold to test.
workers	Number of threads to parallelize across.
plot_f1	Generate a plot with the F1 score vs. threshold as well.
subtitle	Plot subtitle.
color	Variable to color data points by.
shape	Variable to set data point shapes by.
facets	Please use rows and cols instead.
interact	Default TRUE. By default, plots are interactive. If set FALSE, all plots in the report will be static.
show_plot	Show the plot.
save_path	File path to save precision-recall results to.
verbose	Print messages.

Value

list with data and precision recall and F1 plots

Examples

data("CnR_H3K27ac")
data("CnT_H3K27ac")
data("encode_H3K27ac")
peakfiles <- list(CnR_H3K27ac=CnR_H3K27ac, CnT_H3K27ac=CnT_H3K27ac)
reference <- list("encode_H3K27ac" = encode_H3K27ac)

pr_out <- plot_precision_recall(peakfiles = peakfiles,
                                reference = reference,
                                workers = 1)

neurogenomics/EpiCompare documentation built on April 30, 2024, 3:58 p.m.