getEmbeddings: compute the 2D coordinates of embeded cells, genes, loci and...
In sqjin/scAI: integrative analysis of single-cell transcriptomic and epigenomic profiles
Description
compute the 2D coordinates of embeded cells, genes, loci and factors using VscAI visualization
Usage
1
2
getEmbeddings(object, genes.embed = NULL, loci.embed = NULL,
alpha.embed = 1.9, snn.embed = 5)
Arguments
object
scAI object
genes.embed
A vector of genes to be embedded
loci.embed
A vector of loci to be embedded
alpha.embed
Parameter controlling the distance between the cells and the factors
snn.embed
Number of neighbors
sqjin/scAI documentation built on Nov. 19, 2020, 4:04 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
compute the 2D coordinates of embeded cells, genes, loci and factors using VscAI visualization
Usage
1 2 | getEmbeddings(object, genes.embed = NULL, loci.embed = NULL,
alpha.embed = 1.9, snn.embed = 5)
|
Arguments
object |
scAI object |
genes.embed |
A vector of genes to be embedded |
loci.embed |
A vector of loci to be embedded |
alpha.embed |
Parameter controlling the distance between the cells and the factors |
snn.embed |
Number of neighbors |
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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