cluster.permutation.analysis: Validating clustering results using permutation analysis
In minzheguo/SINCERA: An R implementation of SINCERA pipeline for processing single-cell RNA-seq data.
Description
Validating clustering results using permutation analysis
Usage
1
2
cluster.permutation.analysis(object, n = 20, distance.method = "euclidean",
...)
Arguments
object
A sincera object
n
The number of random permutations
distance.method
The method to calculate cell expression profile distance, possible values include pearson and euclidean
minzheguo/SINCERA documentation built on Feb. 3, 2021, 2:31 p.m.
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Description
Validating clustering results using permutation analysis
Usage
1 2 | cluster.permutation.analysis(object, n = 20, distance.method = "euclidean",
...)
|
Arguments
object |
A sincera object |
n |
The number of random permutations |
distance.method |
The method to calculate cell expression profile distance, possible values include pearson and euclidean |
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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