pearsonsDist: pearsonsDist
In EngeLab/CIMseq: CIMseq is a software suite for analysis of scRNAseq data that has been produced using the cellular interactions by multiplet sequencing method
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
Calculates the x and y coordinates of the mean of each classified group.
Usage
1
pearsonsDist(cpm, select)
Arguments
cpm
matrix; Counts per million.
select
A numeric vector indicating the indexes of genes to include.
Details
This method is typically only used in conjunction with plotting. It
calculates the 2 dimensional location of the mean of each classified group
in the supplied unsupervised dimensionality reduction (t-SNE) data
representation.
Value
A matrix containing the mean value for each gene for each
classification group.
Author(s)
Jason T. Serviss
Examples
1
d <- pearsonsDist(getData(CIMseqSinglets_test, "counts.cpm"), 1:2000)
EngeLab/CIMseq documentation built on Jan. 25, 2022, 5 a.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
Calculates the x and y coordinates of the mean of each classified group.
Usage
1 | pearsonsDist(cpm, select)
|
Arguments
cpm |
matrix; Counts per million. |
select |
A numeric vector indicating the indexes of genes to include. |
Details
This method is typically only used in conjunction with plotting. It calculates the 2 dimensional location of the mean of each classified group in the supplied unsupervised dimensionality reduction (t-SNE) data representation.
Value
A matrix containing the mean value for each gene for each classification group.
Author(s)
Jason T. Serviss
Examples
1 | d <- pearsonsDist(getData(CIMseqSinglets_test, "counts.cpm"), 1:2000)
|
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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