Luedeking-Piret regression for multi-step-ahead forecasting and clone selection in monoclonal antibodies biomanufacturing

luedeking-piret-regression-for-multi-step-ahead-forecasting-and-clone-selection-in-monoclonal-antibodies-biomanufacturing
Luedeking-Piret regression for multi-step-ahead forecasting and clone selection in monoclonal antibodies biomanufacturing

Data availability

The data that support the findings of this study are available from Wheeler Bio, Inc., but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are, however, available from the authors upon reasonable request and with permission of Wheeler Bio, Inc. Figure source data are available in Supplementary Data.

Code availability

The code developed for this study is available upon reasonable request.

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Acknowledgements

This article was prepared using Federal funds under award #08-79-05677 from the Economic Development Administration, U.S. Department of Commerce. The statements, findings, conclusions, and recommendations are those of the authors and do not necessarily reflect the views of the Economic Development Administration or the U.S. Department of Commerce. Financial support was provided by the University of Oklahoma Libraries’ Open Access Fund.

Author information

Authors and Affiliations

  1. Data Science and Analytics Institute, University of Oklahoma, Norman, OK, USA

    Penghua Wang & Chongle Pan

  2. Wheeler Bio Inc., Oklahoma City, OK, USA

    Deepika Verma & Yuk Chiu

  3. Sustainable Chemical, Biological and Materials Engineering, University of Oklahoma, Norman, OK, USA

    John Klier

  4. School of Computer Science, University of Oklahoma, Norman, OK, USA

    Chongle Pan

  5. Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, USA

    Chongle Pan

Authors

  1. Penghua Wang
  2. Deepika Verma
  3. Yuk Chiu
  4. John Klier
  5. Chongle Pan

Contributions

P. W. Conceptualization, methodology, software, validation, formal analysis, writing—original draft, writing—review and editing, visualization. D. V. Data collection, experiments, and evaluation. Y. C. Data collection, experiments, and evaluation. J. K. Conceptualization, supervision and project management, funding acquisition. C. P.Conceptualization, methodology, writing—review and editing, supervision. All authors have read and agreed to the published version of the manuscript.

Corresponding author

Correspondence to Chongle Pan.

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The authors declare no competing interests.

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Communications Engineering thanks the anonymous reviewers for their contribution to the peer review of this work. Primary handling editors: [Inge Herrmann] and [Rosamund Daw].

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Wang, P., Verma, D., Chiu, Y. et al. Luedeking-Piret regression for multi-step-ahead forecasting and clone selection in monoclonal antibodies biomanufacturing. Commun Eng (2025). https://doi.org/10.1038/s44172-025-00547-7

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  • DOI: https://doi.org/10.1038/s44172-025-00547-7