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netgwas  

Network-Based Genome Wide Association Studies
View on CRAN: Click here


Download and install netgwas package within the R console
Install from CRAN:
install.packages("netgwas")

Install from Github:
library("remotes")
install_github("cran/netgwas")

Install by package version:
library("remotes")
install_version("netgwas", "1.14.5")



Attach the package and use:
library("netgwas")
Maintained by
Pariya Behrouzi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-12-01
Latest Update: 2025-09-03
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) and Behrouzi and Wit (2017) .
How to cite:
Pariya Behrouzi (2017). netgwas: Network-Based Genome Wide Association Studies. R package version 1.14.5, https://cran.r-project.org/web/packages/netgwas. Accessed 09 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:24), 0.0.1-1 (2017-12-01 19:20), 0.1.2.0 (2018-01-12 16:31), 0.1.3.0 (2018-02-07 15:02), 0.1.3.1 (2018-02-07 16:52), 0.1.3.2 (2018-03-13 12:20), 0.1.4.2 (2018-04-06 18:40), 1.5.0 (2018-05-16 17:59), 1.7.0 (2018-08-13 12:00), 1.8.1 (2019-02-17 00:30), 1.9 (2019-03-26 16:10), 1.10 (2019-04-12 16:02), 1.11 (2019-10-15 17:00), 1.12 (2020-10-21 11:30), 1.13 (2020-11-17 18:20), 1.14.1 (2022-08-25 15:20), 1.14.2 (2023-08-07 16:40), 1.14.3 (2024-03-19 16:30), 1.14.4 (2025-11-10 07:10), 1.14 (2022-08-17 17:00)
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