View source: R/visualization_functions.R
heatmap_var_peaks | R Documentation |
plot most variable k peaks (default k = 100) among all samples
heatmap_var_peaks(results, heatmap.peak.count = 100, ...)
results |
cinaR result object |
heatmap.peak.count |
number of peaks to be plotted. If number of peaks are less than k then all peaks will be used. |
... |
additional arguments for heatmap function, for more info '?pheatmap' |
ggplot object
library(cinaR) data(atac_seq_consensus_bm) # calls 'bed' # creating dummy results results <- NULL results[["cp"]] <- bed[,c(4:25)] heatmap_var_peaks(results)
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