selectTopMarkers: Select the most cell type specific markers
In cole-trapnell-lab/monocle-release: Clustering, differential expression, and trajectory analysis for single- cell RNA-Seq
Description
Usage
Arguments
Value
View source: R/methods-CellTypeHierarchy.R
Description
This is a handy wrapper function around dplyr's top_n function to extract
the most specific genes for each cell type. Convenient, for example, for
selecting a balanced set of genes to be used in semi-supervised clustering
or ordering.
Usage
1
selectTopMarkers(marker_specificities, num_markers = 10)
Arguments
marker_specificities
The dataframe of specificity results produced by calculateMarkerSpecificity()
num_markers
The number of markers that will be shown for each cell type
Value
A data frame of specificity results
cole-trapnell-lab/monocle-release documentation built on May 13, 2019, 8:50 p.m.
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Description Usage Arguments Value
View source: R/methods-CellTypeHierarchy.R
Description
This is a handy wrapper function around dplyr's top_n function to extract the most specific genes for each cell type. Convenient, for example, for selecting a balanced set of genes to be used in semi-supervised clustering or ordering.
Usage
1 | selectTopMarkers(marker_specificities, num_markers = 10)
|
Arguments
marker_specificities |
The dataframe of specificity results produced by |
num_markers |
The number of markers that will be shown for each cell type |
Value
A data frame of specificity results
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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