identifyFactorMarkers: Identify enriched features in each factor
In sqjin/scAI: integrative analysis of single-cell transcriptomic and epigenomic profiles
Description
Rank features in each factor by Factor loading analysis
Usage
1
2
3
identifyFactorMarkers(object, assay, features = NULL, cutoff.W = 0.5,
cutoff.H = 0.5, thresh.pc = 0.05, thresh.fc = 0.25,
thresh.p = 0.05, n.top = 10)
Arguments
object
scAI object
assay
Name of assay to be analyzed
features
a vector of features
cutoff.W
Threshold of feature loading values
cutoff.H
Threshold of cell loading values
thresh.pc
Threshold of the percent of cells enriched in one factor
thresh.fc
Threshold of Fold Change
thresh.p
Threshold of p-values
n.top
Number of top features to be returned
sqjin/scAI documentation built on Nov. 19, 2020, 4:04 p.m.
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Description
Rank features in each factor by Factor loading analysis
Usage
1 2 3 | identifyFactorMarkers(object, assay, features = NULL, cutoff.W = 0.5,
cutoff.H = 0.5, thresh.pc = 0.05, thresh.fc = 0.25,
thresh.p = 0.05, n.top = 10)
|
Arguments
object |
scAI object |
assay |
Name of assay to be analyzed |
features |
a vector of features |
cutoff.W |
Threshold of feature loading values |
cutoff.H |
Threshold of cell loading values |
thresh.pc |
Threshold of the percent of cells enriched in one factor |
thresh.fc |
Threshold of Fold Change |
thresh.p |
Threshold of p-values |
n.top |
Number of top features to be returned |
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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