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Open Access

Correction

Correction: DeepGANnel: Synthesis of fully annotated single molecule patch-clamp data using generative adversarial networks

  • Sam T. M. Ball,
  • Numan Celik,
  • Elaheh Sayari,
  • Lina Abdul Kadir,
  • Fiona O’Brien,
  • Richard Barrett-Jolley

The lower sub-panel image of Fig 5D is incorrect in the published article [1]. Please see the correct Fig 5 here.

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Fig 5. Sample data from both real dataset and DeepGANnel model output from numerous ion channels.

In each subpanel, real raw and labelled data is displayed on top with simulated data below. (A): “Channel phenotype A” canine articular chondrocyte sample data and model output. (B): “Channel phenotype B”, WinEDR simulated sample data and model output. (C): “Channel phenotype C” tracheal chondrocyte sample data and model output. (D): “Channel phenotype D” PVN sample data and model output.

https://doi.org/10.1371/journal.pone.0325021.g005

Reference

  1. 1. Ball STM, Celik N, Sayari E, Abdul Kadir L, O’Brien F, Barrett-Jolley R. DeepGANnel: Synthesis of fully annotated single molecule patch-clamp data using generative adversarial networks. PLoS One. 2022;17(5):e0267452. pmid:35536793

Citation: Ball STM, Celik N, Sayari E, Abdul Kadir L, O’Brien F, Barrett-Jolley R (2025) Correction: DeepGANnel: Synthesis of fully annotated single molecule patch-clamp data using generative adversarial networks. PLoS One 20(5): e0325021. https://doi.org/10.1371/journal.pone.0325021

Published: May 20, 2025

Copyright: © 2025 Ball et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.