| Name : R-rMVP
| |
| Version : 1.1.1
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp156.1.1
| Date : 2024-09-10 02:57:49
|
| Group : Development/Libraries/Other
| Source RPM : R-rMVP-1.1.1-lp156.1.1.src.rpm
|
| Size : 1.79 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Memory-Efficient, Visualize-Enhanced, Parallel-Accelerated GWAS Tool
|
Description :
A memory-efficient, visualize-enhanced, parallel-accelerated
Genome-Wide Association Study (GWAS) tool. It can (1) effectively
process large data, (2) rapidly evaluate population structure, (3)
efficiently estimate variance components several algorithms, (4)
implement parallel-accelerated association tests of markers three
methods, (5) globally efficient design on GWAS process computing, (6)
enhance visualization of related information. \'rMVP\' contains three
models GLM (Alkes Price (2006) < DOI:10.1038/ng1847>), MLM (Jianming Yu
(2006) < DOI:10.1038/ng1702>) and FarmCPU (Xiaolei Liu (2016)
< doi:10.1371/journal.pgen.1005767>); variance components estimation
methods EMMAX (Hyunmin Kang (2008) < DOI:10.1534/genetics.107.080101>),
FaSTLMM (method: Christoph Lippert (2011) < DOI:10.1038/nmeth.1681>, R
implementation from \'GAPIT2\': You Tang and Xiaolei Liu (2016)
< DOI:10.1371/journal.pone.0107684> and \'SUPER\': Qishan Wang and Feng
Tian (2014) < DOI:10.1371/journal.pone.0107684>), and HE regression
(Xiang Zhou (2017) < DOI:10.1214/17-AOAS1052>).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
