| Name : R-netgwas
| |
| Version : 1.14.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.2
| Date : 2024-06-14 11:17:23
|
| Group : Development/Libraries/Other
| Source RPM : R-netgwas-1.14.3-lp153.2.2.src.rpm
|
| Size : 0.37 MB
| |
| Packager : (none)
| |
| Summary : Network-Based Genome Wide Association Studies
|
Description :
A multi-core R package that contains a set of tools based on copula
graphical models for accomplishing the three interrelated goals in
genetics and genomics in an unified way: (1) linkage map construction,
(2) constructing linkage disequilibrium networks, and (3) exploring
high-dimensional genotype-phenotype network and genotype-
phenotype-environment interactions networks. The \'netgwas\' package can
deal with biparental inbreeding and outbreeding species with any ploidy
level, namely diploid (2 sets of chromosomes), triploid (3 sets of
chromosomes), tetraploid (4 sets of chromosomes) and so on. We target
on high-dimensional data where number of variables p is considerably
larger than number of sample sizes (p >> n). The computations is
memory-optimized using the sparse matrix output. The \'netgwas\'
implements the methodological developments in Behrouzi and Wit (2017)
< doi:10.1111/rssc.12287> and Behrouzi and Wit (2017)
< doi:10.1093/bioinformatics/bty777>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
