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Correction: CITEViz: interactively classify cell populations in CITE-Seq via a flow cytometry-like gating workflow using R-Shiny

BMC Bioinformatics volume 26, Article number: 244 (2025) Cite this article

The Original Article was published on 02 April 2024

Correction to: BMC Bioinformatics (2024) 25:142 https://doi.org/10.1186/s12859-024-05762-1

Following the publication of the original article [1], the authors would like to correct Table 1 and the sentence under the sub-heading CITEViz compared to other programs.

The correct Table 1 is given below:

Table 1 CITEViz compared to single-cell virtual cytometer, iSEE, and Seurat

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CITEViz compared to other programs

The sentence currently reads: Another similar tool is the Interactive SummarizedExperiment Explorer (iSEE). iSEE is an R-Shiny package from BioConductor that provides a visual interface to explore single-cell datasets, but it lacks an iterative filtration feature that is essential to recreate the flow cytometry gating workflow [13].

The sentence should read: Another similar tool is the Interactive SummarizedExperiment Explorer (iSEE). iSEE is an R-Shiny package from BioConductor that provides a visual interface to explore single-cell dataset and apply the flow cytometry workflow with minor adjustment of the layout [14]. iSEE was originally optimized for CyTOF and scRNA-Seq data in SingleCellExperiment format but is incompatible with the multi-assay structure of CITE-Seq datasets. To aid users in choosing a particular tool, the main advantage of CITEViz is to implement the gating workflow in CITE-Seq data in native Seurat format via a simplified layout. Users who are looking for a multi-dimensional, tailored exploration of their data with a customizable layout should consider iSEE.

The original article [1] has been corrected.

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Author notes
  1. Garth L. Kong, Thai T. Nguyen,Wesley K. Rosales, Anjali D.Panikar and John H. W. Cheneycontributed equally to theproject.

Authors and Affiliations

  1. Division of Oncologic Sciences, Knight Cancer Institute, Oregon Health and Science University, KR-HEM, 3181 SW Sam Jackson Pk. Rd., Portland, OR, 97239, USA

    Garth L. Kong, Thai T. Nguyen, William M. Yashar, Brittany M. Curtiss, Sarah A. Carratt, Theodore P. Braun & Julia E. Maxson

  2. Earle A. Chiles Research Institute, Providence, Portland, OR, 97213, USA

    Wesley K. Rosales

  3. Knight Campus Graduate Internship Program - Bioinformatics, University of Oregon, Eugene, OR, 97403, USA

    Anjali D. Panikar & John H. W. Cheney

  4. Cancer Early Detection Advanced Research, Oregon Health and Science University, Portland, OR, 97238, USA

    Theresa A. Lusardi

  5. Department of Biomedical Engineering, Oregon Health and Science University, Portland, USA

    William M. Yashar

  6. Division of Hematology and Medical Oncology, Oregon Health and Science University, Portland, USA

    Theodore P. Braun

Authors
  1. Garth L. Kong
  2. Thai T. Nguyen
  3. Wesley K. Rosales
  4. Anjali D. Panikar
  5. John H. W. Cheney
  6. Theresa A. Lusardi
  7. William M. Yashar
  8. Brittany M. Curtiss
  9. Sarah A. Carratt
  10. Theodore P. Braun
  11. Julia E. Maxson

Corresponding authors

Correspondence to Theodore P. Braun or Julia E. Maxson.

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Kong, G.L., Nguyen, T.T., Rosales, W.K. et al. Correction: CITEViz: interactively classify cell populations in CITE-Seq via a flow cytometry-like gating workflow using R-Shiny. BMC Bioinformatics 26, 244 (2025). https://doi.org/10.1186/s12859-025-06274-2

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  • DOI: https://doi.org/10.1186/s12859-025-06274-2

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