initial.mapping: Infer spatial origins for single cells
In paodan/studySeu: Seurat : R toolkit for single cell genomics
Description
Usage
Arguments
Value
Description
Probabilistically maps single cells based on (imputed) gene expression
estimates, a set of mixture models, and an in situ spatial reference map.
Usage
1
initial.mapping(object, cells.use = NULL)
Arguments
object
Seurat object
cells.use
Which cells to map
Value
Seurat object, where mapping probabilities for each bin are stored
in object@final.prob
paodan/studySeu documentation built on May 23, 2019, 3:06 p.m.
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Description Usage Arguments Value
Description
Probabilistically maps single cells based on (imputed) gene expression estimates, a set of mixture models, and an in situ spatial reference map.
Usage
1 | initial.mapping(object, cells.use = NULL)
|
Arguments
object |
Seurat object |
cells.use |
Which cells to map |
Value
Seurat object, where mapping probabilities for each bin are stored in object@final.prob
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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