| Name : R-LFDREmpiricalBayes
| |
| Version : 1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.3.12
| Date : 2024-06-14 11:14:16
|
| Group : Development/Libraries/Other
| Source RPM : R-LFDREmpiricalBayes-1.0-lp153.3.12.src.rpm
|
| Size : 0.42 MB
| |
| Packager : (none)
| |
| Summary : Estimating Local False Discovery Rates Using Empirical Bayes Methods
|
Description :
New empirical Bayes methods aiming at analyzing the association of
single nucleotide polymorphisms (SNPs) to some particular disease are
implemented in this package. The package uses local false discovery
rate (LFDR) estimates of SNPs within a sample population defined as a
\"reference class\" and discovers if SNPs are associated with the
corresponding disease. Although SNPs are used throughout this document,
other biological data such as protein data and other gene data can be
used. Karimnezhad, Ali and Bickel, D. R. (2016)
< http://hdl.handle.net/10393/34889>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
