# load the sample output data with p.values computed
data(AlvMac_results.pVal)
# Histogram of scores (labelled with counts)
hist_scores(result=AlvMac_results, breaks=20, labels=TRUE)
# filter for Biological Processes associated with 5+ genes and <=0.05 P-value
filtered_results <- subset_scores(
result=AlvMac_results.pVal, total_count=5, p.val=0.05,
namespace="BP")
# Histogram of scores (labelled with counts)
hist_scores(result=filtered_results, breaks=20, labels=TRUE)
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