Article
Bayesian Modeling for Epistasis Analysis Using Data-Driven Reversible Jump.
IEEE/ACM transactions on computational biology and bioinformatics - 1 Jan 2000
Zuanetti Daiane Aparecida, Milan Luis Aparecido
Abstract excerpt
We propose a procedure for modeling a phenotype using QTLs which estimate the additive and dominance effects of genotypes and epistasis. The estimation of the model is implemented through a Bayesian approach which uses the data-driven reversible jump (DDRJ) for multiple QTL mapping and model selection. We compare the DDRJ's performance with the usual reversible jump (RJ), QTLBim, multiple interval mapping (MIM)...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.