ClusterTimeProfile: ClusterTimeProfile
In nathansam/CircadianTools: Collection of Tools for Detecting Rhythmic Genes
Description
Usage
Arguments
Examples
View source: R/cluster_functions.R
Description
Provides a vector of mean values at each time point for
each cluster.
Usage
1
ClusterTimeProfile(cluster.no, cluster.dataset, nthreads = NULL)
Arguments
cluster.no
The number which identifies the cluster.
cluster.dataset
A transcriptomics dataset where the final column
details the cluster the gene belongs to. First column should be gene names.
All remaining columns should be expression levels.
nthreads
The number of threads to be used for parallel computations.
Defaults to the maximum number of threads available.
Examples
1
2
pam.df <- PamClustering(Laurasmappings, k = 10, nthreads = 2)
time.profile<-ClusterTimeProfile(1, cluster.dataset = pam.df, nthreads = 2)
nathansam/CircadianTools documentation built on Dec. 26, 2019, 11:30 a.m.
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Description Usage Arguments Examples
View source: R/cluster_functions.R
Description
Provides a vector of mean values at each time point for each cluster.
Usage
1 | ClusterTimeProfile(cluster.no, cluster.dataset, nthreads = NULL)
|
Arguments
cluster.no |
The number which identifies the cluster. |
cluster.dataset |
A transcriptomics dataset where the final column details the cluster the gene belongs to. First column should be gene names. All remaining columns should be expression levels. |
nthreads |
The number of threads to be used for parallel computations. Defaults to the maximum number of threads available. |
Examples
1 2 | pam.df <- PamClustering(Laurasmappings, k = 10, nthreads = 2)
time.profile<-ClusterTimeProfile(1, cluster.dataset = pam.df, nthreads = 2)
|
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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