Package: iBMQ 1.45.0

Greg Imholte

iBMQ: integrated Bayesian Modeling of eQTL data

integrated Bayesian Modeling of eQTL data

Authors:Marie-Pier Scott-Boyer and Greg Imholte

iBMQ_1.45.0.tar.gz
iBMQ_1.45.0.zip(r-4.5)iBMQ_1.45.0.zip(r-4.4)iBMQ_1.45.0.zip(r-4.3)
iBMQ_1.45.0.tgz(r-4.4-arm64)iBMQ_1.45.0.tgz(r-4.4-x86_64)iBMQ_1.45.0.tgz(r-4.3-arm64)iBMQ_1.45.0.tgz(r-4.3-x86_64)
iBMQ_1.45.0.tar.gz(r-4.5-noble)iBMQ_1.45.0.tar.gz(r-4.4-noble)
iBMQ_1.45.0.tgz(r-4.4-emscripten)iBMQ_1.45.0.tgz(r-4.3-emscripten)
iBMQ.pdf |iBMQ.html
iBMQ/json (API)

# Install 'iBMQ' in R:
install.packages('iBMQ', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • gsl– GNU Scientific Library (GSL)
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • PPA.liver - A matrix with Posterior Probabilities of Association
  • 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.
  • map.liver - SNP position data frame
  • phenotype.liver - Gene expression from liver tissue from n = 60 F2 mice.
  • probe.liver - Gene position data frame
  • snp - A set of 1700 SNP from 68 BXD RIS mice.
  • snppos - SNP position data frame

On BioConductor:iBMQ-1.45.0(bioc 3.20)iBMQ-1.44.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

5 exports 0.82 score 30 dependencies

Last updated 2 months agofrom:09641c235b

Exports:calculateThresholdeqtlClassifiereqtlFindereqtlMcmchotspotFinder

Dependencies:BiobaseBiocGenericsclicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr

iBMQ: An Integrated Hierarchical Bayesian Model for Multivariate eQTL Mapping

Rendered fromiBMQ.Rnwusingutils::Sweaveon Jul 03 2024.

Last update: 2018-08-30
Started: 2013-11-01