Package: MethylMix 2.37.0

Olivier Gevaert

MethylMix: MethylMix: Identifying methylation driven cancer genes

MethylMix is an algorithm implemented to identify hyper and hypomethylated genes for a disease. MethylMix is based on a beta mixture model to identify methylation states and compares them with the normal DNA methylation state. MethylMix uses a novel statistic, the Differential Methylation value or DM-value defined as the difference of a methylation state with the normal methylation state. Finally, matched gene expression data is used to identify, besides differential, functional methylation states by focusing on methylation changes that effect gene expression. References: Gevaert 0. MethylMix: an R package for identifying DNA methylation-driven genes. Bioinformatics (Oxford, England). 2015;31(11):1839-41. doi:10.1093/bioinformatics/btv020. Gevaert O, Tibshirani R, Plevritis SK. Pancancer analysis of DNA methylation-driven genes using MethylMix. Genome Biology. 2015;16(1):17. doi:10.1186/s13059-014-0579-8.

Authors:Olivier Gevaert

MethylMix_2.37.0.tar.gz
MethylMix_2.37.0.zip(r-4.5)MethylMix_2.37.0.zip(r-4.4)MethylMix_2.37.0.zip(r-4.3)
MethylMix_2.37.0.tgz(r-4.4-any)MethylMix_2.37.0.tgz(r-4.3-any)
MethylMix_2.37.0.tar.gz(r-4.5-noble)MethylMix_2.37.0.tar.gz(r-4.4-noble)
MethylMix_2.37.0.tgz(r-4.4-emscripten)MethylMix_2.37.0.tgz(r-4.3-emscripten)
MethylMix.pdf |MethylMix.html
MethylMix/json (API)
NEWS

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

Peer review:

Datasets:
  • BatchData - BatchData data set
  • GEcancer - Cancer Gene expression data of glioblastoma patients from the TCGA project
  • METcancer - DNA methylation data from cancer tissue from glioblastoma patients from the TCGA project
  • METnormal - DNA methylation data from normal tissue from glioblastoma patients
  • ProbeAnnotation - ProbeAnnotation data set
  • SNPprobes - SNPprobes data set

On BioConductor:MethylMix-2.37.0(bioc 3.21)MethylMix-2.36.0(bioc 3.20)

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

dnamethylationstatisticalmethoddifferentialmethylationgeneregulationgeneexpressionmethylationarraydifferentialexpressionpathwaysnetwork

4.72 score 26 scripts 276 downloads 53 mentions 10 exports 44 dependencies

Last updated 23 days agofrom:6007130992. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 21 2024
R-4.5-winNOTENov 21 2024
R-4.5-linuxNOTENov 21 2024
R-4.4-winNOTENov 21 2024
R-4.4-macNOTENov 21 2024
R-4.3-winNOTENov 21 2024
R-4.3-macNOTENov 21 2024

Exports:ClusterProbesDownload_DNAmethylationDownload_GeneExpressionGetDataMethylMixMethylMix_ModelGeneExpressionMethylMix_PlotModelMethylMix_PredictPreprocess_DNAmethylationPreprocess_GeneExpression

Dependencies:bitopscliclustercodetoolscolorspacedata.tabledigestfansifarverforeachggplot2gluegtableimputeisobanditeratorslabelinglatticelifecyclelimmamagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR.matlabR.methodsS3R.ooR.utilsR6RColorBrewerRCurlrlangRPMMscalesstatmodtibbleutf8vctrsviridisLitewithr

MethylMix

Rendered fromvignettes.Rmdusingknitr::rmarkdownon Nov 21 2024.

Last update: 2018-08-30
Started: 2017-01-14