cluster_cn: Hierarchically cluster copy number data
In cancerdatasci/ceres: CERES for R
Description
Usage
Arguments
Value
Description
Hierarchically cluster copy number data to create knot points for piecewise linear cutting effect fit
Usage
1
2
cluster_cn(cn_vec, min_dpts = 25, cluster_method = "average",
n_segments = 25)
Arguments
cn_vec
vector of copy number values for each genomic locus in a particular cell line
min_dpts
sets the minimum number of data points within a cluster leaf
cluster_method
the agglomeration method to be used. See hclust for available methods
n_segments
the number of segments in the piecewise linear cutting effect fit
Value
A vector of knot points of the form c(start_1, end_1, start_2, end_2, start_3, end_3, ..., start_n, end_n)
cancerdatasci/ceres documentation built on May 20, 2019, 6:44 p.m.
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Description Usage Arguments Value
Description
Hierarchically cluster copy number data to create knot points for piecewise linear cutting effect fit
Usage
1 2 | cluster_cn(cn_vec, min_dpts = 25, cluster_method = "average",
n_segments = 25)
|
Arguments
cn_vec |
vector of copy number values for each genomic locus in a particular cell line |
min_dpts |
sets the minimum number of data points within a cluster leaf |
cluster_method |
the agglomeration method to be used. See |
n_segments |
the number of segments in the piecewise linear cutting effect fit |
Value
A vector of knot points of the form c(start_1, end_1, start_2, end_2, start_3, end_3, ..., start_n, end_n)
R Package Documentation
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