deconvolveClusters: Deconvolution by given set of clusters
In ctlab/ClusDec: Clustering approach to solve complete Deconvolution problem
Description
Usage
Arguments
Value
Examples
Description
Runs DSA with given clusters as putative signatures
Usage
1
deconvolveClusters(dataset, clusters)
Arguments
dataset
matrix, given dataset to perform deconvolution
clusters
numeric vector, clusters to use as putative signatures
Value
list with matrices W and H
Examples
1
2
3
data('datasetLiverBrainLung')
preprocessed <- preprocessDataset(datasetLiverBrainLung, k=5) # 5 clusters
results <- deconvolveClusters(preprocessed, c(1, 2, 4)) # use clusters 1, 2 and 4 as putative signatures
ctlab/ClusDec documentation built on May 14, 2019, 12:29 p.m.
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Description Usage Arguments Value Examples
Description
Runs DSA with given clusters as putative signatures
Usage
1 | deconvolveClusters(dataset, clusters)
|
Arguments
dataset |
matrix, given dataset to perform deconvolution |
clusters |
numeric vector, clusters to use as putative signatures |
Value
list with matrices W and H
Examples
1 2 3 | data('datasetLiverBrainLung')
preprocessed <- preprocessDataset(datasetLiverBrainLung, k=5) # 5 clusters
results <- deconvolveClusters(preprocessed, c(1, 2, 4)) # use clusters 1, 2 and 4 as putative signatures
|
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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