FlowRepository: A resource of annotated flow cytometry datasets associated with peer‐reviewed publications

By Josef Spidlen, Karin Breuer, C. Rosenberg, Nikesh Kotecha, Ryan Remy Brinkman. 2012

177 citations recorded by the source corpus.

Subfields: Cancer Research, Molecular Biology, Computational Biology & Bioinformatics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cancer Research

1. John Healy
2. Leland McInnes
3. M. Wauben

In Molecular Biology

1. Tiffany J. Chen
2. Rienk Nieuwland
3. John Healy
4. Leland McInnes
5. Nikesh Kotecha
6. Edwin van der Pol
7. M. Wauben
8. O. De Wever

In Computational Biology & Bioinformatics

1. John Healy
2. Leland McInnes

Citations in the corpus

• UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction (2018, background): “Flow cytometry [42, 9] is a dataset of ƒow cytometry measurements of CDT4 cells comprised of 1,000,000 samples, each with 17 measurements.”
• Cytobank: providing an analytics platform for community cytometry data analysis and collaboration. (2014, background): “These standards are also in consideration by other resources for publicly available cytometry data analysis, including Immport (Immport 2014) and Flow Repository (Spidlen et al. 2012).”
• MIFlowCyt-EV: a framework for standardized reporting of extracellular vesicle flow cytometry experiments (2020, background): “fcs”-file, instrument settings are also imported and are therefore easily accessible [3,37].”