runDSA: Run DSA by clusters
In ctlab/LinSeed: Linear Subpsace identification to solve complete gene expression deconvolution problem
Description
Usage
Arguments
Value
Description
Runs DSA with provided clusters as putative signatures
Usage
1
runDSA(dataset, clustering, clusters)
Arguments
dataset
gene expression matrix
clustering
numeric vector, clustering of the rows
clusters
numeric vector, which clusters use as putative signatures
Value
deconvolution results, list with H and W matrices
ctlab/LinSeed documentation built on Aug. 9, 2019, 4:33 p.m.
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Description Usage Arguments Value
Description
Runs DSA with provided clusters as putative signatures
Usage
1 | runDSA(dataset, clustering, clusters)
|
Arguments
dataset |
gene expression matrix |
clustering |
numeric vector, clustering of the rows |
clusters |
numeric vector, which clusters use as putative signatures |
Value
deconvolution results, list with H and W matrices
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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