eQtlBma

Timothée Flutre (1) , Xiaoquan Wen (2)

1 UMR AGAP - Amélioration génétique et adaptation des plantes méditerranéennes et tropicales
2 Statistics

The eQtlBma package implements Bayesian statistical methods to detect eQTLs jointly in multiple subgroups (e.g. tissues). Key features are to borrow information across subgroups, to explicitly model heterogeneity (qualitatively and quantitatively), and to borrow information across genes to estimate hyper-parameters from the data ("empirical Bayes").

Mots clés: eQTL; multivariate bayesian regression

Domaines: Applications [stat.AP]

Timothée Flutre, Xiaoquan Wen. eQtlBma. 2012. ⟨hal-02805097⟩