fastDSA: Fast DSA algorithm implementation
In ctlab/LinSeed: Linear Subpsace identification to solve complete gene expression deconvolution problem
Description
Usage
Arguments
Value
Description
Runs DSA implementation using .fccnls for solving least-squares with multiple right-hand-sides
Usage
1
fastDSA(dataset, genes)
Arguments
dataset
gene expression matrix
genes,
list with putative signatures for DSA algorithm
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 implementation using .fccnls for solving least-squares with multiple right-hand-sides
Usage
1 | fastDSA(dataset, genes)
|
Arguments
dataset |
gene expression matrix |
genes, |
list with putative signatures for DSA algorithm |
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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