DecisionTree: Build decision trees for each cell group in the candidate...
In NHLBI-BCB/IKAP: IKAP: Identifying K mAjor cell Population group in single cell analysis
Description
Usage
Arguments
Examples
Description
This function builds decision trees for each cell group each candidate set using the R package rpart.
The overall classification error is summarized for each candidate set of cell groups.
Usage
1
DecisionTree(sobj, markers, out.dir, plot.decision.tree)
Arguments
sobj
the Seurat object
markers
a list of marker gene tables for candidate sets. This is usually the list returned from
ComputeMarkers().
out.dir
the path for output directory
plot.decision.tree
whether to plot decision trees?
Examples
1
DecisionTree(sobj, markers, out.dir, plot.decision.tree)
NHLBI-BCB/IKAP documentation built on March 21, 2020, 8:08 p.m.
R Package Documentation
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Description Usage Arguments Examples
Description
This function builds decision trees for each cell group each candidate set using the R package rpart. The overall classification error is summarized for each candidate set of cell groups.
Usage
1 | DecisionTree(sobj, markers, out.dir, plot.decision.tree)
|
Arguments
sobj |
the Seurat object |
markers |
a list of marker gene tables for candidate sets. This is usually the list returned from ComputeMarkers(). |
out.dir |
the path for output directory |
plot.decision.tree |
whether to plot decision trees? |
Examples
1 | DecisionTree(sobj, markers, out.dir, plot.decision.tree)
|
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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