run_elnet_logistic_reg: run_elnet_logist_reg
In alextkalinka/delboy: Differential-representation analysis by Elastic-net Logistic regression with BinOmial-thinning validitY tests
Description
Usage
Arguments
Value
View source: R/run_elnet_logistic_reg.R
Description
Run an Elastic-net logistic regression using glmnet.
Usage
1
run_elnet_logistic_reg(data, treat, alpha)
Arguments
data
A matrix of normalized, batch-corrected counts - samples as rows, genes as columns.
treat
A factor vector grouping samples into one of at most two groups.
alpha
The elastic-net regression penalty, between 0 and 1.
Value
An object of class delboy_elnet.
alextkalinka/delboy documentation built on Feb. 2, 2022, 4:19 p.m.
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Description Usage Arguments Value
View source: R/run_elnet_logistic_reg.R
Description
Run an Elastic-net logistic regression using glmnet.
Usage
1 | run_elnet_logistic_reg(data, treat, alpha)
|
Arguments
data |
A matrix of normalized, batch-corrected counts - samples as rows, genes as columns. |
treat |
A factor vector grouping samples into one of at most two groups. |
alpha |
The elastic-net regression penalty, between 0 and 1. |
Value
An object of class delboy_elnet.
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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