Skip to content
/ TANDEM Public

A two-stage regression method that can be used when various input data types are correlated, for example gene expression and methylation in drug response prediction. In the first stage it uses the upstream features (such as methylation) to predict the response variable (such as drug response), and in the second stage it uses the downstream featu…

Notifications You must be signed in to change notification settings

NKI-CCB/TANDEM

Repository files navigation

TANDEM

A two-stage regression method that can be used when various input data types are correlated, for example gene expression and methylation in drug response prediction. In the first stage it uses the upstream features (such as methylation) to predict the response variable (such as drug response), and in the second stage it uses the downstream features (such as gene expression) to predict the residuals of the first stage. In our manuscript (Aben et al., 2016), we show that using TANDEM prevents the model from being dominated by gene expression and that the features selected by TANDEM are more interpretable.

The R package is available on CRAN. It can be installed within R using:

install.packages("TANDEM")

A quick start can be found here. The reference manual can be found here.

About

A two-stage regression method that can be used when various input data types are correlated, for example gene expression and methylation in drug response prediction. In the first stage it uses the upstream features (such as methylation) to predict the response variable (such as drug response), and in the second stage it uses the downstream featu…

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages