Append specificity metrics to DE
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
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.