Name
Title | ||
|---|---|---|
A Bayesian Method For The Detection Of Epistasis In Quantitative Trait Loci Using Markov Chain Monte Carlo Model Composition With Restricted Model Spaces |
Abstract | ||
|---|---|---|
Epistasis or the interaction between loci on a genome is of great interest to geneticists. Herein, a powerful Bayesian method utilizing Markov chain Monte Carlo model composition approach using restricted spaces is developed for identifying epistatic effects in Recombinant Inbred Lines (RIL). The method is verified through a simulation study and applied to an Arabidopsis thaliana data set with cotyledon as the quantitative trait. |
Year | Venue | Keywords |
|---|---|---|
2011 | ICAART 2011: PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 1 | Quantitative trait loci, Epistasis, Bayesian statistics, Markov chain Monte Carlo model composition |
Field | DocType | Citations |
Data mining,Quantitative trait locus,Markov chain Monte Carlo,Epistasis,Computer science,Model composition,Algorithm,Bioinformatics,Bayesian probability | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Edward L. Boone | 1 | 8 | 3.62 |
| Susan J. Simmons | 2 | 1 | 1.06 |
| Karl Ricanek | 3 | 165 | 18.65 |