runGrosselin_multiCluster: Multi-scenario analysis of single-cell epigenomic data
In plbaldoni/scChIPseqsim: Single-cell ChIP-seq Data Simulator Based on Pseudo-bulk Profiles
Description
Usage
Arguments
Details
Value
Author(s)
View source: R/runGrosselin_multiCluster.R
Description
Add description here
Usage
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runGrosselin_multiCluster(
path,
pathdata,
resvec = c(50000, 25000, 5000, 1000),
maxCluster = 8,
algCluster = "kmeans"
)
Arguments
path
directory
pathdata
path to the data
resvec
resolution of the data to analyze
maxCluster
maximum number of clusters
algCluster
clustering algorithm
Details
Add details here
Value
Add return here
Author(s)
Pedro L. Baldoni, pedrobaldoni@gmail.com
plbaldoni/scChIPseqsim documentation built on June 11, 2020, 7:41 p.m.
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Description Usage Arguments Details Value Author(s)
View source: R/runGrosselin_multiCluster.R
Description
Add description here
Usage
1 2 3 4 5 6 7 | runGrosselin_multiCluster(
path,
pathdata,
resvec = c(50000, 25000, 5000, 1000),
maxCluster = 8,
algCluster = "kmeans"
)
|
Arguments
path |
directory |
pathdata |
path to the data |
resvec |
resolution of the data to analyze |
maxCluster |
maximum number of clusters |
algCluster |
clustering algorithm |
Details
Add details here
Value
Add return here
Author(s)
Pedro L. Baldoni, pedrobaldoni@gmail.com
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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