methyvim

DOI: 10.18129/B9.bioc.methyvim    

This package is for version 3.12 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see methyvimData.

Targeted, Robust, and Model-free Differential Methylation Analysis

Bioconductor version: 3.12

This package provides facilities for differential methylation analysis based on variable importance measures (VIMs), a class of statistical target parameters that arise in causal inference. The estimation and inference procedures provided are nonparametric, relying on ensemble machine learning to flexibly assess functional relationships among covariates and the outcome of interest. These tools can be applied to differential methylation at the level of CpG sites, to obtain valid statistical inference even after corrections for multiple hypothesis testing.

Author: Nima Hejazi [aut, cre, cph] , Rachael Phillips [ctb] , Mark van der Laan [aut, ths] , Alan Hubbard [ctb, ths]

Maintainer: Nima Hejazi <nh at nimahejazi.org>

Citation (from within R, enter citation("methyvim")):

Installation

To install this package, start R (version "4.0") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("methyvim")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("methyvim")

 

HTML R Script Targeted Data-Adaptive Estimation and Inference for Differential Methylation Analysis
PDF   Reference Manual
Text   NEWS
Text   LICENSE

Details

biocViews Clustering, DNAMethylation, DifferentialMethylation, MethylSeq, MethylationArray, Software
Version 1.11.0
In Bioconductor since BioC 3.6 (R-3.4) (3.5 years)
License file LICENSE
Depends R (>= 3.4.0)
Imports stats, cluster, methods, ggplot2, ggsci, gridExtra, superheat, dplyr, gtools, tmle (>= 1.4.0.1), future, doFuture, S4Vectors, BiocGenerics, BiocParallel, SummarizedExperiment, GenomeInfoDb, bumphunter, IRanges, limma, minfi
LinkingTo
Suggests testthat, knitr, rmarkdown, BiocStyle, SuperLearner, earth, nnet, gam, arm, snow, parallel, BatchJobs, minfiData, methyvimData
SystemRequirements
Enhances
URL https://github.com/nhejazi/methyvim
BugReports https://github.com/nhejazi/methyvim/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package methyvim_1.11.0.tar.gz
Windows Binary methyvim_1.11.0.zip
macOS 10.13 (High Sierra) methyvim_1.11.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/methyvim
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/methyvim
Package Short Url https://bioconductor.org/packages/methyvim/
Package Downloads Report Download Stats

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