detect_cell_types: Identify clusters corresponding to putative cell types
In SLICER: Selective Locally Linear Inference of Cellular Expression Relationships
Description
Usage
Arguments
Value
Description
detect_cell_types divides the k-nearest neighbor
graph (built from the LLE embedding) into connected
components. These connected components represent clusters of cells corresponding to putative cell types.
Usage
1
detect_cell_types(embedding, k)
Arguments
embedding
Low-dimensional LLE embedding of cells
k
Number of nearest neighbors to use when detecting clusters
Value
Vector containing a numerical cluster assignment for each cell
SLICER documentation built on May 1, 2019, 6:32 p.m.
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Description Usage Arguments Value
Description
detect_cell_types divides the k-nearest neighbor
graph (built from the LLE embedding) into connected
components. These connected components represent clusters of cells corresponding to putative cell types.
Usage
1 | detect_cell_types(embedding, k)
|
Arguments
embedding |
Low-dimensional LLE embedding of cells |
k |
Number of nearest neighbors to use when detecting clusters |
Value
Vector containing a numerical cluster assignment for each cell
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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