reconstruct_kmedoid: Calculate the k-medoids clustering for a given time course.
In MultIS: Reconstruction of Clones from Integration Site Readouts and Visualization
Description
Usage
Arguments
Value
Description
Calculate the k-medoids clustering for a given time course.
Usage
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5
reconstruct_kmedoid(
readouts,
target_communities,
sim = MultIS::get_similarity_matrix(readouts = readouts, self = 0, upper = TRUE)
)
Arguments
readouts
The time course for which to find clusters.
target_communities
The number of clusters to cluster for.
sim
A similarity matrix for the time course.
Value
A matrix with two columns: "Clone" and "IS".
MultIS documentation built on Aug. 6, 2021, 5:07 p.m.
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Description Usage Arguments Value
Description
Calculate the k-medoids clustering for a given time course.
Usage
1 2 3 4 5 | reconstruct_kmedoid(
readouts,
target_communities,
sim = MultIS::get_similarity_matrix(readouts = readouts, self = 0, upper = TRUE)
)
|
Arguments
readouts |
The time course for which to find clusters. |
target_communities |
The number of clusters to cluster for. |
sim |
A similarity matrix for the time course. |
Value
A matrix with two columns: "Clone" and "IS".
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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