detectGenes: Detects genes above minimum threshold.
In cole-trapnell-lab/monocle-release: Clustering, differential expression, and trajectory analysis for single- cell RNA-Seq
Description
Usage
Arguments
Value
Examples
Description
Sets the global expression detection threshold to be used with this CellDataSet.
Counts how many cells each feature in a CellDataSet object that are detectably expressed
above a minimum threshold. Also counts the number of genes above this threshold are
detectable in each cell.
Usage
1
detectGenes(cds, min_expr = NULL)
Arguments
cds
the CellDataSet upon which to perform this operation
min_expr
the expression threshold
Value
an updated CellDataSet object
Examples
1
2
3
4
## Not run:
HSMM <- detectGenes(HSMM, min_expr=0.1)
## End(Not run)
cole-trapnell-lab/monocle-release documentation built on May 13, 2019, 8:50 p.m.
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Description Usage Arguments Value Examples
Description
Sets the global expression detection threshold to be used with this CellDataSet. Counts how many cells each feature in a CellDataSet object that are detectably expressed above a minimum threshold. Also counts the number of genes above this threshold are detectable in each cell.
Usage
1 | detectGenes(cds, min_expr = NULL)
|
Arguments
cds |
the CellDataSet upon which to perform this operation |
min_expr |
the expression threshold |
Value
an updated CellDataSet object
Examples
1 2 3 4 | ## Not run:
HSMM <- detectGenes(HSMM, min_expr=0.1)
## End(Not run)
|
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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