HDCytoData

HDCytoData is a Bioconductor package that provides a centralized and convenient way to access and utilize high-dimensional cytometry benchmark datasets. The package aims to assist computational analysts and method developers by offering a collection of well-characterized datasets in a standardized format.

Key features of HDCytoData include:

1. Streamlined access to publicly available benchmark datasets through Bioconductor's ExperimentHub interface.
2. Datasets are formatted into standard SummarizedExperiment and flowSet Bioconductor object formats, ensuring compatibility and ease of use.
3. Complete metadata is included within the dataset objects, providing essential information for analysis and interpretation.
4. The package currently includes a set of experimental and semi-simulated datasets previously used to evaluate clustering and differential analysis methods.
5. HDCytoData is designed to be extensible, allowing the addition of new datasets contributed by the package authors or other researchers in the future.

Topic

Data handling

Detail

  • Operation: Essential dynamics;Data retrieval;Formatting

  • Software interface: Library

  • Language: R

  • License: The MIT License

  • Cost: Free

  • Version name: 1.24.0

  • Credit: University of Zurich.

  • Input: -

  • Output: -

  • Contact: Lukas M. Weber lmweberedu@gmail.com

  • Collection: -

  • Maturity: -

Publications

  • HDCytoData: Collection of high-dimensional cytometry benchmark datasets in Bioconductor object formats
  • Weber LM, Soneson C. HDCytoData: Collection of high-dimensional cytometry benchmark datasets in Bioconductor object formats. F1000Res. 2019 Aug 19;8:1459. doi: 10.12688/f1000research.20210.2. PMID: 31857895; PMCID: PMC6904983.
  • https://doi.org/10.12688/F1000RESEARCH.20210.1
  • PMID: 31857895
  • PMC: PMC6904983

Download and documentation


< Back to DB search