Append specificity metrics to DE
appendSpecificityMetricsToDE(
de.df,
clusters,
cluster.id,
p2.counts,
low.expression.threshold = 0,
append.auc = FALSE
)
data.frame of differential expression values
factor of clusters
names of 'clusters' factor. If a cluster.id doesn't exist in cluster names, an error is thrown.
counts from Pagoda2, refer to <https://github.com/kharchenkolab/pagoda2>
numeric Threshold to remove expression values (default=0). Values under this threshold are discarded.
boolean If TRUE, append AUC values (default=FALSE)
data.frame of differential expression values with metrics attached