Introduction | Getting Started | 1. Install and load the Package | Installation | Loading | Launch the GUI | 2. Desctiption of input data | 3. Work flow and result demonstration | References
Package: GEM 1.39.0
Hong Pan
GEM: GEM: fast association study for the interplay of Gene, Environment and Methylation
Tools for analyzing EWAS, methQTL and GxE genome widely.
Authors:
GEM_1.39.0.tar.gz
GEM_1.39.0.zip(r-4.7)GEM_1.39.0.zip(r-4.6)GEM_1.39.0.zip(r-4.5)
GEM_1.39.0.tgz(r-4.6-any)GEM_1.39.0.tgz(r-4.5-any)
GEM_1.39.0.tar.gz(r-4.7-any)GEM_1.39.0.tar.gz(r-4.6-any)
GEM_1.39.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
GEM/json (API)
| # Install 'GEM' in R: |
| install.packages('GEM', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
On BioConductor:GEM-1.39.0(bioc 3.24)GEM-1.38.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
methylseqmethylationarraygenomewideassociationregressiondnamethylationsnpgeneexpressiongui
Last updated from:6602fe2547. Checks:1 ERROR, 9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | ERROR | 178 | ||
| linux-devel-x86_64 | OK | 239 | ||
| source / vignettes | OK | 212 | ||
| linux-release-x86_64 | OK | 225 | ||
| macos-release-arm64 | OK | 114 | ||
| macos-oldrel-arm64 | OK | 120 | ||
| windows-devel | OK | 110 | ||
| windows-release | OK | 110 | ||
| windows-oldrel | OK | 103 | ||
| wasm-release | OK | 125 |
Exports:GEM_EmodelGEM_GmodelGEM_GUIGEM_GWASmodelGEM_GxEmodel
Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| GEM: Fast association study for the interplay of Gene, Environment and Methylation | GEM-package |
| GEM_Emodel Analysis | GEM_Emodel |
| GEM_Gmodel Analysis | GEM_Gmodel |
| Graphical User Interface (GUI) for GEM | GEM_GUI |
| GEM_GWASmodel | GEM_GWASmodel |
| GEM_GxEmodel | GEM_GxEmodel |
| Class 'SlicedData' for storing large matrices | as.matrix,SlicedData-method colMeans,SlicedData-method colnames,SlicedData-method colnames<-,SlicedData-method colSums,SlicedData-method dim,SlicedData-method length,SlicedData-method NCOL,SlicedData-method ncol,SlicedData-method NROW,SlicedData-method nrow,SlicedData-method rowMeans,SlicedData-method rownames,SlicedData-method rownames<-,SlicedData-method rowSums,SlicedData-method show,SlicedData-method SlicedData SlicedData-class summary.SlicedData [[,SlicedData-method [[<-,SlicedData-method |