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DOI: 10.18129/B9.bioc.rqt    

rqt: utilities for gene-level meta-analysis

Bioconductor version: Release (3.6)

Despite the recent advances of modern GWAS methods, it still remains an important problem of addressing calculation an effect size and corresponding p-value for the whole gene rather than for single variant. The R- package rqt offers gene-level GWAS meta-analysis. For more information, see: "Gene-set association tests for next-generation sequencing data" by Lee et al (2016), Bioinformatics, 32(17), i611-i619, .

Author: I. Y. Zhbannikov, K. G. Arbeev, A. I. Yashin.

Maintainer: Ilya Y. Zhbannikov <ilya.zhbannikov at duke.edu>

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biocViews GenomeWideAssociation, PrincipalComponent, Regression, Sequencing, Software, StatisticalMethod, Survival
Version 1.4.0
In Bioconductor since BioC 3.5 (R-3.4) (1 year)
License GPL
Depends R (>= 3.4), SummarizedExperiment
Imports stats, Matrix, ropls, methods, car, RUnit, metap, CompQuadForm, glmnet, utils, pls
Suggests BiocStyle, knitr, rmarkdown
URL https://github.com/izhbannikov/rqt
BugReports https://github.com/izhbannikov/rqt/issues
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Source Package rqt_1.4.0.tar.gz
Windows Binary rqt_1.4.0.zip
Mac OS X 10.11 (El Capitan) rqt_1.4.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/rqt
Package Short Url http://bioconductor.org/packages/rqt/
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