| Name : R-EBPRS
| |
| Version : 2.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.12
| Date : 2024-06-14 11:46:48
|
| Group : Development/Libraries/Other
| Source RPM : R-EBPRS-2.1.0-lp153.2.12.src.rpm
|
| Size : 0.05 MB
| |
| Packager : (none)
| |
| Summary : Derive Polygenic Risk Score Based on Emprical Bayes Theory
|
Description :
EB-PRS is a novel method that leverages information for effect sizes
across all the markers to improve the prediction accuracy. No
parameter tuning is needed in the method, and no external information
is needed. This R-package provides the calculation of polygenic risk
scores from the given training summary statistics and testing data. We
can use EB-PRS to extract main information, estimate Empirical Bayes
parameters, derive polygenic risk scores for each individual in testing
data, and evaluate the PRS according to AUC and predictive r2. See Song
et al. (2020) < doi:10.1371/journal.pcbi.1007565> for a detailed
presentation of the method.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
