Package: GEM 1.33.0

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:Hong Pan, Joanna D Holbrook, Neerja Karnani, Chee-Keong Kwoh

GEM_1.33.0.tar.gz
GEM_1.33.0.zip(r-4.5)GEM_1.33.0.zip(r-4.4)GEM_1.33.0.zip(r-4.3)
GEM_1.33.0.tgz(r-4.4-any)GEM_1.33.0.tgz(r-4.3-any)
GEM_1.33.0.tar.gz(r-4.5-noble)GEM_1.33.0.tar.gz(r-4.4-noble)
GEM_1.33.0.tgz(r-4.4-emscripten)GEM_1.33.0.tgz(r-4.3-emscripten)
GEM.pdf |GEM.html
GEM/json (API)
NEWS

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

Peer review:

On BioConductor:GEM-1.31.0(bioc 3.20)GEM-1.30.0(bioc 3.19)

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

methylseqmethylationarraygenomewideassociationregressiondnamethylationsnpgeneexpressiongui

4.43 score 27 scripts 164 downloads 5 exports 28 dependencies

Last updated 23 days agofrom:8a904e008f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-winOKOct 30 2024
R-4.5-linuxOKOct 30 2024
R-4.4-winOKOct 30 2024
R-4.4-macOKOct 30 2024
R-4.3-winOKOct 30 2024
R-4.3-macOKOct 30 2024

Exports:GEM_EmodelGEM_GmodelGEM_GUIGEM_GWASmodelGEM_GxEmodel

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr

GEM: fast association study for the interplay of Gene, Environment and Methylation

Rendered fromuser_guide.Rmdusingknitr::rmarkdownon Oct 30 2024.

Last update: 2018-08-30
Started: 2016-06-04

Readme and manuals

Help Manual

Help pageTopics
GEM: Fast association study for the interplay of Gene, Environment and MethylationGEM-package
GEM_Emodel AnalysisGEM_Emodel
GEM_Gmodel AnalysisGEM_Gmodel
Graphical User Interface (GUI) for GEMGEM_GUI
GEM_GWASmodelGEM_GWASmodel
GEM_GxEmodelGEM_GxEmodel
Class 'SlicedData' for storing large matricesas.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