PeteHaitch/Aclust: Clustering functions and analysis pipeline for methylation outcome data based on clustering and GEEs

The package implements the A-clustering algorithm to detect regions of co-regulated CoG sites, and a pipeline focused on the analysis of methylation data, in which they are assumed to be outcomes. The analysis starts with a clustering step, in which adjacent probes are clustered based on correlations, and then exposure effect is estimated using GEEs. There is a function to output the results and write tables to a latex file.

Getting started

Package details

AuthorTamar Sofer
MaintainerTamar Sofer <[email protected]>
LicenseGPL2
Version2.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("PeteHaitch/Aclust")
PeteHaitch/Aclust documentation built on May 8, 2019, 1:29 a.m.