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Open Access

Erratum to: BayesFlow: latent modeling of flow cytometry cell populations

Contributed equally
BMC BioinformaticsBMC series – open, inclusive and trusted201617:149

Received: 1 March 2016

Accepted: 1 March 2016

Published: 31 March 2016

The original article was published in BMC Bioinformatics 2016 17:25

Unfortunately, the original version of this article [1] contained an error whereby the figures are completely out of order. The correct order of figures is as below. For example, Figure 1 should be the first figure, Figure 6 should be the second figure, Figure 2 should be the third figure and so forth as listed below. This has been corrected in the original article.

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Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

Centre for Mathematical Sciences, Lund University, Lund, Sweden
Mathematical Sciences, Chalmers and University of Gothenburg, Gothenburg, Sweden
International Group for Data Analysis, Institut Pasteur, Paris, France


  1. Johnsson K, Wallin J, Fontes M. BayesFlow: latent modeling of flow cytometry cell populations. BMC Bioinformatics. 2016;17:25.View ArticlePubMedPubMed CentralGoogle Scholar


© Johnsson et al. 2016