compute_marker_enrichment: Compute marker enrichment (score over expected score, under...
In gillislab/MetaMarkers: Extract robust markers from multiple datasets
Description
Usage
Arguments
Value
Description
Compute marker enrichment (score over expected score, under the hypothesis
that all marker sets are expressed equally in the cell).
Usage
1
compute_marker_enrichment(scores, by_group = TRUE)
Arguments
scores
A marker score matrix as returned by score_cells.
by_group
Boolean. If TRUE, the expected score is computed based
on neighboring cell types. For this option to work, score_cells must be run
on a MetaMarkers marker table where groups have been specified.
Value
A cell type x cell matrix containing marker enrichment scores.
gillislab/MetaMarkers documentation built on April 24, 2021, 9:25 p.m.
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Description Usage Arguments Value
Description
Compute marker enrichment (score over expected score, under the hypothesis that all marker sets are expressed equally in the cell).
Usage
1 | compute_marker_enrichment(scores, by_group = TRUE)
|
Arguments
scores |
A marker score matrix as returned by score_cells. |
by_group |
Boolean. If TRUE, the expected score is computed based on neighboring cell types. For this option to work, score_cells must be run on a MetaMarkers marker table where groups have been specified. |
Value
A cell type x cell matrix containing marker enrichment scores.
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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