cluster.alpha: Probability of detection by identity class
In paodan/studySeu: Seurat : R toolkit for single cell genomics
Description
Usage
Arguments
Value
Description
For each gene, calculates the probability of detection for each identity
class.
Usage
1
cluster.alpha(object, thresh.min = 0)
Arguments
object
Seurat object
thresh.min
Minimum threshold to define 'detected' (log-scale)
Value
Returns a matrix with genes as rows, identity classes as columns.
paodan/studySeu documentation built on May 23, 2019, 3:06 p.m.
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Description Usage Arguments Value
Description
For each gene, calculates the probability of detection for each identity class.
Usage
1 | cluster.alpha(object, thresh.min = 0)
|
Arguments
object |
Seurat object |
thresh.min |
Minimum threshold to define 'detected' (log-scale) |
Value
Returns a matrix with genes as rows, identity classes as columns.
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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