Package 'methylationArrayAnalysis'
| Title: |
A cross-package Bioconductor workflow for analysing methylation
array data |
| Description: |
Methylation in the human genome is known to be associated
with development and disease. The Illumina Infinium methylation
arrays are by far the most common way to interrogate
methylation across the human genome. This Bioconductor workflow
uses multiple packages for the analysis of methylation array
data. Specifically, we demonstrate the steps involved in a
typical differential methylation analysis pipeline including:
quality control, filtering, normalization, data exploration and
statistical testing for probe-wise differential methylation. We
further outline other analyses such as differential methylation
of regions, differential variability analysis, estimating cell
type composition and gene ontology testing. Finally, we provide
some examples of how to visualise methylation array data. |
| Authors: |
Jovana Maksimovic [aut, cre] |
| Maintainer: |
Jovana Maksimovic <[email protected]> |
| License: |
Artistic-2.0 |
| Version: |
1.36.1 |
| Built: |
2026-10-13 13:46:59 UTC |
| Source: |
https://github.com/bioc/methylationArrayAnalysis |
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