cv_glmnet_OriginalModel: Train original model for gene signatures Leong_24,...
In dfjenkins3/TBSignatureProfiler: Profile RNA-Seq Data Using TB Pathway Signatures
View source: R/OriginalModel.R
cv_glmnet_OriginalModel R Documentation
Train original model for gene signatures Leong_24, Leong_RISK_29, Zhao_NANO_6 using lasso logistic regression.
Description
Train original model for gene signatures Leong_24, Leong_RISK_29, Zhao_NANO_6 using lasso logistic regression.
Usage
cv_glmnet_OriginalModel(dat_list, dat_test_sig)
Arguments
dat_list
A list contains training data and disease status
outcomes from the discovery data of corresponding gene signatures.
dat_test_sig
A data frame contains corresponding gene sets
from the input.
Value
The predicted score for each sample in the test study.
dfjenkins3/TBSignatureProfiler documentation built on Oct. 26, 2024, 1:29 a.m.
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View source: R/OriginalModel.R
| cv_glmnet_OriginalModel | R Documentation |
Train original model for gene signatures Leong_24, Leong_RISK_29, Zhao_NANO_6 using lasso logistic regression.
Description
Train original model for gene signatures Leong_24, Leong_RISK_29, Zhao_NANO_6 using lasso logistic regression.
Usage
cv_glmnet_OriginalModel(dat_list, dat_test_sig)
Arguments
dat_list |
A |
dat_test_sig |
A |
Value
The predicted score for each sample in the test study.
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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