Package: TANDEM 1.0.3

TANDEM: A Two-Stage Approach to Maximize Interpretability of Drug Response Models Based on Multiple Molecular Data Types

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, <doi:10.1093/bioinformatics/btw449>), we show that using TANDEM prevents the model from being dominated by gene expression and that the features selected by TANDEM are more interpretable.

Authors:Nanne Aben

TANDEM_1.0.3.tar.gz
TANDEM_1.0.3.zip(r-4.5)TANDEM_1.0.3.zip(r-4.4)TANDEM_1.0.3.zip(r-4.3)
TANDEM_1.0.3.tgz(r-4.4-any)TANDEM_1.0.3.tgz(r-4.3-any)
TANDEM_1.0.3.tar.gz(r-4.5-noble)TANDEM_1.0.3.tar.gz(r-4.4-noble)
TANDEM_1.0.3.tgz(r-4.4-emscripten)TANDEM_1.0.3.tgz(r-4.3-emscripten)
TANDEM.pdf |TANDEM.html✨
TANDEM/json (API)
NEWS

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3 exports 2 stars 5.91 score 10 dependencies 89 mentions 9 scripts 174 downloads

Last updated 5 years agofrom:6b32438a5e. Checks:OK: 7. Indexed: yes.

Exports:nested.cvrelative.contributionstandem

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival