summary_DA: Summary of the differential analysis
In vallotlab/ChromSCape: Analysis of single-cell epigenomics datasets with a Shiny App
View source: R/diff_analysis_gene_set_enrichment.R
summary_DA R Documentation
Summary of the differential analysis
Description
Summary of the differential analysis
Usage
summary_DA(scExp, qval.th = 0.01, logFC.th = 1, min.percent = 0.01)
Arguments
scExp
A SingleCellExperiment object containing consclust with selected
number of cluster.
qval.th
Adjusted p-value threshold. (0.01)
logFC.th
Fold change threshold. (1)
min.percent
Minimum fraction of cells having the feature active to
consider it as significantly differential. (0.01)
Value
A table summary of the differential analysis
Examples
data('scExp')
summary_DA(scExp)
vallotlab/ChromSCape documentation built on Oct. 15, 2023, 1:47 p.m.
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View source: R/diff_analysis_gene_set_enrichment.R
| summary_DA | R Documentation |
Summary of the differential analysis
Description
Summary of the differential analysis
Usage
summary_DA(scExp, qval.th = 0.01, logFC.th = 1, min.percent = 0.01)
Arguments
scExp |
A SingleCellExperiment object containing consclust with selected number of cluster. |
qval.th |
Adjusted p-value threshold. (0.01) |
logFC.th |
Fold change threshold. (1) |
min.percent |
Minimum fraction of cells having the feature active to consider it as significantly differential. (0.01) |
Value
A table summary of the differential analysis
Examples
data('scExp')
summary_DA(scExp)
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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