hdbscan_clustering: Find clusters using HDBSCAN
In klprint/customSC: Custom functions for single cell transcriptomics analysis
Description
Usage
Arguments
Details
Value
View source: R/reticulated_functions.R
Description
This function will use the scale.data slot of the Seurat object to find clusters using the HDBSCAN algorithm.
HDBSCAN is implemented in python and connected to R using the reticulate package.
Usage
1
hdbscan_clustering(adata)
Arguments
adata
Seurat object with var.genes slot filled.
Details
Make sure you have installed reticulate and enabled the right environment, before running this function.
The following python (3.6) packages need to be installed:
- umap
- hdbscan
Value
A character vector of class assignments. The class "-1" is used to label cells which could not be assigned to a cluster.
klprint/customSC documentation built on May 28, 2019, 5:54 p.m.
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Description Usage Arguments Details Value
View source: R/reticulated_functions.R
Description
This function will use the scale.data slot of the Seurat object to find clusters using the HDBSCAN algorithm. HDBSCAN is implemented in python and connected to R using the reticulate package.
Usage
1 | hdbscan_clustering(adata)
|
Arguments
adata |
Seurat object with var.genes slot filled. |
Details
Make sure you have installed reticulate and enabled the right environment, before running this function. The following python (3.6) packages need to be installed:
- umap
- hdbscan
Value
A character vector of class assignments. The class "-1" is used to label cells which could not be assigned to a cluster.
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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