To cite DgeaHeatmap in publications use:

Lancelle LJ, Potru PS, Spittau B, Wiemann S (2025). “DgeaHeatmap: an R package for transcriptomic analysis and heatmap generation.” Bioinformatics Advances, 5(1), vbaf194. ISSN 2635-0041. doi:10.1093/bioadv/vbaf194. https://doi.org/10.1093/bioadv/vbaf194.

Corresponding BibTeX entry:

  @Article{,
    title = {DgeaHeatmap: an R package for transcriptomic analysis and
      heatmap generation},
    author = {Leonie J Lancelle and Phani S Potru and Bjoern Spittau
      and Susanne Wiemann},
    journal = {Bioinformatics Advances},
    volume = {5},
    number = {1},
    pages = {vbaf194},
    year = {2025},
    month = {08},
    issn = {2635-0041},
    abstract = {The growing use of transcriptomic data from platforms
      like Nanostring GeoMx DSP demands accessible and flexible tools
      for differential gene expression analysis and heatmap generation.
      Current web-based tools often lack transparency, modifiability,
      and independence from external servers creating barriers for
      researchers seeking customizable workflows, as well as data
      privacy and security. Additionally, tools that can be utilized by
      individuals with minimal bioinformatics expertise provide an
      inclusive solution, empowering a broader range of users to
      analyze complex data effectively.Here, we introduce Differential
      Gene Expression Analysis and Heatmaps (DgeaHeatmap), an R package
      offering streamlined and user-friendly functions for
      transcriptomic data analysis particularly yielded by Nanostring
      GeoMx DSP instruments. The package supports both normalized and
      raw count data, providing tools to preprocess, filter, and
      annotate datasets. DgeaHeatmap leverages Z-score scaling and
      k-means clustering for customizable heatmap generation and
      incorporates a workflow adapted from GeoMxTools for handling raw
      Nanostring GeoMx DSP data. By enabling server-independent
      analyses, the package enhances flexibility, transparency, and
      reproducibility in transcriptomic research.The package
      DgeaHeatmap is freely available on GitLab
      (https://gitlab.ub.uni-bielefeld.de/spittaulab/Dgea/Heatmap/Package.git).},
    doi = {10.1093/bioadv/vbaf194},
    url = {https://doi.org/10.1093/bioadv/vbaf194},
  }