Publication: HDCytoData: Collection of high-dimensional cytometry benchmark datasets in Bioconductor object formats
HDCytoData: Collection of high-dimensional cytometry benchmark datasets in Bioconductor object formats
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Weber, L. M., & Soneson, C. (2019). HDCytoData: Collection of high-dimensional cytometry benchmark datasets in Bioconductor object formats. F1000Research, 8, 1459. https://doi.org/10.12688/f1000research.20210.2
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Benchmarking is a crucial step during computational analysis and method development. Recently, a number of new methods have been developed for analyzing high-dimensional cytometry data. However, it can be difficult for analysts and developers to find and access well-characterized benchmark datasets. Here, we present HDCytoData, a Bioconductor package providing streamlined access to several publicly available high-dimensional cytometry benchmark datasets. The package is designed to be extensible, allowing new datasets to be contributed
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Weber, L. M., & Soneson, C. (2019). HDCytoData: Collection of high-dimensional cytometry benchmark datasets in Bioconductor object formats. F1000Research, 8, 1459. https://doi.org/10.12688/f1000research.20210.2