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