binarizeSingleCellData: Binarize single cell data
In rajewsky-lab/distmap: DistMap
Description
Usage
Arguments
Value
Description
Binarizes the single cell data contained in the DistMap object. This is done in three steps:
(i) gene thresholds are chosen for a given quantile, (ii) the gene correlations of the binarized
data are compared against those of the insitu.matrix and a score is computed, (iii) the
binarized data based on the minimal score is computed and added to the DistMap object.
Usage
1
binarizeSingleCellData(object, quantiles = seq(0.15, 0.16, 0.01))
Arguments
object
A DistMap object.
quantiles
A range of quantiles.
Value
A DistMap object with binarized data.
rajewsky-lab/distmap documentation built on Nov. 27, 2021, 3:02 a.m.
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Description Usage Arguments Value
Description
Binarizes the single cell data contained in the DistMap object. This is done in three steps:
(i) gene thresholds are chosen for a given quantile, (ii) the gene correlations of the binarized
data are compared against those of the insitu.matrix and a score is computed, (iii) the
binarized data based on the minimal score is computed and added to the DistMap object.
Usage
1 | binarizeSingleCellData(object, quantiles = seq(0.15, 0.16, 0.01))
|
Arguments
object |
A |
quantiles |
A range of quantiles. |
Value
A DistMap object with binarized data.
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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