Package 'maEndToEnd'
| Title: |
An end to end workflow for differential gene expression using
Affymetrix microarrays |
| Description: |
In this article, we walk through an end-to-end Affymetrix
microarray differential expression workflow using Bioconductor
packages. This workflow is directly applicable to current
"Gene" type arrays, e.g. the HuGene or MoGene arrays, but can
easily be adapted to similar platforms. The data analyzed here
is a typical clinical microarray data set that compares
inflamed and non-inflamed colon tissue in two disease subtypes.
For each disease, the differential gene expression between
inflamed- and non-inflamed colon tissue was analyzed. We will
start from the raw data CEL files, show how to import them into
a Bioconductor ExpressionSet, perform quality control and
normalization and finally differential gene expression (DE)
analysis, followed by some enrichment analysis. |
| Authors: |
Bernd Klaus [aut],
Stefanie Reisenauer [aut, cre] |
| Maintainer: |
Stefanie Reisenauer <[email protected]> |
| License: |
MIT + file LICENSE |
| Version: |
2.32.0 |
| Built: |
2026-10-07 14:48:15 UTC |
| Source: |
https://github.com/bioc/maEndToEnd |
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