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MethylMix (version 1.6.0)

MethylMix: Identifying methylation driven cancer genes.

Description

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.

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Version

Version

1.6.0

License

GPL-2

Maintainer

Olivier Gevaert

Last Published

February 15th, 2017

Functions in MethylMix (1.6.0)

METnormal

DNA methylation data from normal tissue from glioblastoma patients.
MethylMix

Mixture model for DNA methylation data in cancer.
MethylMix_PlotModel

Plotting a mixture model for a gene.
METnormal_CDH1

DNA methylation data for CDH1 from the breast cancer TCGA project.
MAcancer

Cancer Gene expression data of glioblastoma patients from the TCGA project.
METcancer_CDH1

DNA methylation data for CDH1 from the breast cancer TCGA project.
METcancer

DNA methylation data from cancer tissue from glioblastoma patients from the TCGA project.
MAcancer_CDH1

Cancer Gene expression data of CDH1 for breast cancer patients from the TCGA project.