cluster_cells: Perform cell clustering based on scDHA method
In ScRNAIMM: Performing Single-Cell RNA-Seq Imputation by Using Mean/Median Imputation
cluster_cells R Documentation
Perform cell clustering based on scDHA method
Description
Cluster cells based on scDHA methods to get cluster labels
Usage
cluster_cells(ScRNA_filtered, Normalize = TRUE, k=NULL, n=5000)
Arguments
ScRNA_filtered
ScRNA-seq data set generated by filter_ScRNA function
Normalize
Boolean parameter whether to apply log10 normalization for the data or not
k
Number of clusters if there is a prior knowledge about that
n
Number of genes to keep after feature selection step
Value
a vector that contains the cell labels
Author(s)
Mohamed Soudy Mohmedsoudy2009@gmail.com
ScRNAIMM documentation built on Nov. 18, 2023, 1:09 a.m.
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| cluster_cells | R Documentation |
Perform cell clustering based on scDHA method
Description
Cluster cells based on scDHA methods to get cluster labels
Usage
cluster_cells(ScRNA_filtered, Normalize = TRUE, k=NULL, n=5000)
Arguments
ScRNA_filtered |
ScRNA-seq data set generated by filter_ScRNA function |
Normalize |
Boolean parameter whether to apply log10 normalization for the data or not |
k |
Number of clusters if there is a prior knowledge about that |
n |
Number of genes to keep after feature selection step |
Value
a vector that contains the cell labels
Author(s)
Mohamed Soudy Mohmedsoudy2009@gmail.com
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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