| Name : R-BaTFLED3D
| |
| Version : 0.2.11
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:24:33
|
| Group : Development/Libraries/Other
| Source RPM : R-BaTFLED3D-0.2.11-lp153.2.13.src.rpm
|
| Size : 0.51 MB
| |
| Packager : (none)
| |
| Summary : Bayesian Tensor Factorization Linked to External Data
|
Description :
BaTFLED is a machine learning algorithm designed to make predictions
and determine interactions in data that varies along three independent
modes. For example BaTFLED was developed to predict the growth of cell
lines when treated with drugs at different doses. The first mode
corresponds to cell lines and incorporates predictors such as cell line
genomics and growth conditions. The second mode corresponds to drugs
and incorporates predictors indicating known targets and structural
features. The third mode corresponds to dose and there are no
dose-specific predictors (although the algorithm is capable of
including predictors for the third mode if present). See
\'BaTFLED3D_vignette.rmd\' for a simulated example.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
