| Name : R-TANDEM
| |
| Version : 1.0.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.4.1
| Date : 2024-09-10 03:08:56
|
| Group : Development/Libraries/Other
| Source RPM : R-TANDEM-1.0.3-lp156.4.1.src.rpm
|
| Size : 0.13 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : A Two-Stage Approach to Maximize Interpretability of Drug Response Models Based on Multiple Molecular Data Types
|
Description :
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.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
