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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "maEndToEnd" in publications use:'
type: software
license: MIT
title: 'maEndToEnd: An end to end workflow for differential gene expression using
  Affymetrix microarrays'
version: 2.33.0
abstract: 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:
- family-names: Klaus
  given-names: Bernd
  email: bernd.klaus@embl.de
- family-names: Reisenauer
  given-names: Stefanie
  email: steffi.reisenauer@tum.de
repository: https://bioc.r-universe.dev
commit: 09ef1b08a853796800a405026b48c73629e2e278
url: https://www.bioconductor.org/help/workflows/
date-released: '2024-01-12'
contact:
- family-names: Reisenauer
  given-names: Stefanie
  email: steffi.reisenauer@tum.de