TVMagic: Elastic-net for compressed sensing
In bhattacharya-a-bt/DeCompress: Tissue compartment deconvolution for targeted RNA panels
Description
Usage
Arguments
Value
Description
The function runs nonlinear optimization of TV-L2-penalty
to train compression for a single gene
Usage
1
TVMagic(need, train, seed = 1218, lambda = 0.1)
Arguments
need
vector, numeric vector of gene that is needed
train
matrix, numeric expression matrix of training data
seed
numeric, random seed
lambda
numeric, penalty parameter
Value
list with coefficients and predictive R2
bhattacharya-a-bt/DeCompress documentation built on March 28, 2021, 3:52 a.m.
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Description Usage Arguments Value
Description
The function runs nonlinear optimization of TV-L2-penalty to train compression for a single gene
Usage
1 | TVMagic(need, train, seed = 1218, lambda = 0.1)
|
Arguments
need |
vector, numeric vector of gene that is needed |
train |
matrix, numeric expression matrix of training data |
seed |
numeric, random seed |
lambda |
numeric, penalty parameter |
Value
list with coefficients and predictive R2
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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