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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