Publication:

HDCytoData: Collection of high-dimensional cytometry benchmark datasets in Bioconductor object formats

Date

Date

Date
2019
Journal Article
Published version

Citations

Citation copied

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

Abstract

Abstract

Abstract

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

Additional indexing

Creators (Authors)

  • Weber, Lukas M
    affiliation.icon.alt
  • Soneson, Charlotte
    affiliation.icon.alt

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
8

Page range/Item number

Page range/Item number

Page range/Item number
1459

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Language

Language

Language
English

Publication date

Publication date

Publication date
2019

Date available

Date available

Date available
2020-01-31

Publisher

Publisher

Publisher

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
2046-1402

OA Status

OA Status

OA Status
Gold

Free Access at

Free Access at

Free Access at
Pubmed ID

PubMed ID

PubMed ID

PubMed ID

Citations

Citation copied

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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