bigstatsenet: Elastic-net for compressed sensing using bigstatsr
In bhattacharya-a-bt/DeCompress: Tissue compartment deconvolution for targeted RNA panels
Description
Usage
Arguments
Value
Description
The function runs elastic net to train compression for a single gene
Usage
1
bigstatsenet(need, train, seed = 1218, alpha)
Arguments
need
vector, numeric vector of gene that is needed
train
matrix, numeric expression matrix of training data
seed
numeric, random seed
alpha
numeric, between 0 and 1
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 elastic net to train compression for a single gene
Usage
1 | bigstatsenet(need, train, seed = 1218, alpha)
|
Arguments
need |
vector, numeric vector of gene that is needed |
train |
matrix, numeric expression matrix of training data |
seed |
numeric, random seed |
alpha |
numeric, between 0 and 1 |
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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