identifyClusterMarkers: Identify markers in each cell cluster
In sqjin/scAI: integrative analysis of single-cell transcriptomic and epigenomic profiles
Description
Identify markers in each cell cluster
Usage
1
2
3
identifyClusterMarkers(object, assay, features = NULL, use.agg = TRUE,
test.use = "bimod", thresh.pc = 0.25, thresh.fc = 0.25,
thresh.p = 0.01)
Arguments
object
scAI object
assay
Name of assay to be analyzed
features
a vector of features
use.agg
whether use the aggregated data
test.use
which test to use ("bimod" or "wilcox")
thresh.pc
Threshold of the percent of cells enriched in one cluster
thresh.fc
Threshold of Fold Change
thresh.p
Threshold of p-values
sqjin/scAI documentation built on Nov. 19, 2020, 4:04 p.m.
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Description
Identify markers in each cell cluster
Usage
1 2 3 | identifyClusterMarkers(object, assay, features = NULL, use.agg = TRUE,
test.use = "bimod", thresh.pc = 0.25, thresh.fc = 0.25,
thresh.p = 0.01)
|
Arguments
object |
scAI object |
assay |
Name of assay to be analyzed |
features |
a vector of features |
use.agg |
whether use the aggregated data |
test.use |
which test to use ("bimod" or "wilcox") |
thresh.pc |
Threshold of the percent of cells enriched in one cluster |
thresh.fc |
Threshold of Fold Change |
thresh.p |
Threshold of p-values |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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