Other packages > Find by keyword >

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", "1.14.4")



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 1.14.4, https://cran.r-project.org/web/packages/netgwas. Accessed 17 Jul. 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)
Other packages that cited netgwas R package
View netgwas citation profile
Other R packages that netgwas depends, imports, suggests or enhances
Complete documentation for netgwas
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

VFS  
Vegetated Filter Strip and Erosion Model
Empirical models for runoff, erosion, and phosphorus loss across a vegetated filter strip, given sl ...
Download / Learn more Package Citations See dependency  
FastKNN  
Fast k-Nearest Neighbors
Compute labels for a test set according to the k-Nearest Neighbors classification. This is a fast wa ...
Download / Learn more Package Citations See dependency  
VEwaningVariant  
Vaccine Efficacy Over Time - Variant Aware
Implements methods for inference on potential waning of vaccine efficacy and for estimation of vacci ...
Download / Learn more Package Citations See dependency  
rt.test  
Robustified t-Test
Performs one-sample t-test based on robustified statistics using median/MAD (TA) and Hodges-Lehmann/ ...
Download / Learn more Package Citations See dependency  
alabama  
Constrained Nonlinear Optimization
Augmented Lagrangian Adaptive Barrier Minimization Algorithm for optimizing smooth nonlinear object ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA