Nothing
qtlnet: Causal Inference of QTL Networks
Functions to Simultaneously Infer Causal Graphs and Genetic Architecture. Includes acyclic and cyclic graphs for data from an experimental cross with a modest number (<10) of phenotypes driven by a few genetic loci (QTL). Chaibub Neto E, Keller MP, Attie AD, Yandell BS (2010) Causal Graphical Models in Systems Genetics: a unified framework for joint inference of causal network and genetic architecture for correlated phenotypes. Annals of Applied Statistics 4: 320-339. <doi:10.1214/09-AOAS288>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Elias Chaibub Neto <echaibub@hotmail.com> and Brian S. yandell <brian.yandell@wisc.edu> |
| Maintainer | Brian S. Yandell <brian.yandell@wisc.edu> |
| License | GPL (>= 2) |
| Version | 1.5.4 |
| URL | http://www.stat.wisc.edu/~yandell/sysgen |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the qtlnet package in your browser
Any scripts or data that you put into this service are public.
