| iBMQ-package | iBMQ : An Integrated Hierarchical Bayesian Model for Multivariate eQTL Mapping |
| calculateThreshold | Calculate PPA significance threshold leading to a desired false discovery rate |
| eqtlClassifier | Classifying the eQTLs |
| eqtlFinder | eqtlFinder |
| eqtlMcmc | Bayesian Multiple eQTL mapping using MCMC |
| gene | Gene expression from whole eye tissue from n = 68 BXD RIS mice. |
| genepos | Gene position data frame |
| genotype.liver | A set of 290 SNPs from 60 F2 mice. |
| hotspotFinder | hotspotFinder |
| iBMQ | iBMQ : An Integrated Hierarchical Bayesian Model for Multivariate eQTL Mapping |
| map.liver | SNP position data frame |
| phenotype.liver | Gene expression from liver tissue from n = 60 F2 mice. |
| PPA.liver | A matrix with Posterior Probabilities of Association |
| probe.liver | Gene position data frame |
| snp | A set of 1700 SNP from 68 BXD RIS mice. |
| snppos | SNP position data frame |