Package: rqt 1.33.0
Ilya Zhbannikov
rqt: rqt: utilities for gene-level meta-analysis
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, <doi:10.1093/bioinformatics/btw429>.
Authors:
rqt_1.33.0.tar.gz
rqt_1.33.0.zip(r-4.5)rqt_1.33.0.zip(r-4.4)rqt_1.33.0.zip(r-4.3)
rqt_1.33.0.tgz(r-4.4-any)rqt_1.33.0.tgz(r-4.3-any)
rqt_1.33.0.tar.gz(r-4.5-noble)rqt_1.33.0.tar.gz(r-4.4-noble)
rqt_1.33.0.tgz(r-4.4-emscripten)rqt_1.33.0.tgz(r-4.3-emscripten)
rqt.pdf |rqt.html✨
rqt/json (API)
NEWS
# Install 'rqt' in R: |
install.packages('rqt', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/izhbannikov/rqt/issues
On BioConductor:rqt-1.33.0(bioc 3.21)rqt-1.32.0(bioc 3.20)
genomewideassociationregressionsurvivalprincipalcomponentstatisticalmethodsequencing
Last updated 2 months agofrom:4366457832. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 06 2024 |
R-4.5-win | OK | Dec 06 2024 |
R-4.5-linux | OK | Dec 06 2024 |
R-4.4-win | OK | Dec 06 2024 |
R-4.4-mac | OK | Dec 06 2024 |
R-4.3-win | OK | Dec 06 2024 |
R-4.3-mac | OK | Dec 06 2024 |
Exports:covariatesgeneTestgeneTestMetagenotypephenotyperesultsrqt
Dependencies:abindaskpassbackportsbase64encBiobaseBiocBaseUtilsBiocGenericsbootbroombslibcachemcalibratecarcarDataclicodetoolscolorspaceCompQuadFormcowplotcpp11crayoncrosstalkcurldata.tableDelayedArrayDEoptimRDerivdigestdoBydplyrevaluatefansifarverfastmapfontawesomeforeachFormulafsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2ggrepelglmnetgluegtablehighrhtmltoolshtmlwidgetshttrIRangesisobanditeratorsjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelimmalme4magrittrMASSmathjaxrMatrixMatrixGenericsMatrixModelsmatrixStatsmemoisemetapmgcvmicrobenchmarkmimeminqamnormtmodelrmultcompMultiAssayExperimentMultiDataSetmulttestmunsellmutossmvtnormnlmenloptrnnetnumDerivopensslpbkrtestpillarpkgconfigplotlyplotrixplspromisespurrrqqconfqqmanquantregR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackrlangrmarkdownrobustbaseroplsRUnitS4ArraysS4VectorssandwichsassscalesshapesnSparseArraySparseMstatmodstringistringrSummarizedExperimentsurvivalsysTFisherTH.datatibbletidyrtidyselecttinytexUCSC.utilsutf8vctrsviridisLitewithrxfunXVectoryamlzlibbioczoo