compute_similarity: compute_similarity
In eytan-weinstein/scClustMatch: scClustMatch: A data visualization tool for interpreting the effects of reference choice on scRNAseq clustering results
View source: R/compute_similarity.R
compute_similarity R Documentation
compute_similarity
Description
Computes the similarity between two different clusterings of the same
reads–one using Reference Genome #1 and the other using Reference Genome
#2–as an adjusted Rand index (ARI) similarity score.
Usage
compute_similarity(first_clustering, second_clustering)
Arguments
first_clustering
The S4 clustering class storing information
related to the user's Reference Genome #1 clustering.
second_clustering
The S4 clustering class storing information
related to a given Reference Genome #2 clustering.
Value
The adjusted Rand index (ARI) similarity score between
first_clustering and second_clustering.
eytan-weinstein/scClustMatch documentation built on May 3, 2022, 7:31 p.m.
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View source: R/compute_similarity.R
| compute_similarity | R Documentation |
compute_similarity
Description
Computes the similarity between two different clusterings of the same reads–one using Reference Genome #1 and the other using Reference Genome #2–as an adjusted Rand index (ARI) similarity score.
Usage
compute_similarity(first_clustering, second_clustering)
Arguments
first_clustering |
The S4 |
second_clustering |
The S4 |
Value
The adjusted Rand index (ARI) similarity score between
first_clustering and second_clustering.
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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