Publisher Correction: The ENCODE Imputation Challenge: a critical assessment of methods for cross-cell type imputation of epigenomic profiles

Abstract

Correction: Genome Biol 24, 79 (2023)

https://doi.org/10.1186/s13059-023-02915-y

Following publication of the original article [1], the authors identified that the affiliation 1 was incorrectly used for all authors. The correct affiliations are used in this correction article and the original article [1] has been corrected.

1. Schreiber J, Boix C, wook Lee J, et al. The ENCODE Imputation Challenge: a critical assessment of methods for cross-cell type imputation of epigenomic profiles. Genome Biol. 2023;24:79. https://doi.org/10.1186/s13059-023-02915-y.

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Author notes

1. Jacob Matthew Schreiber and Carles Boix are co-first authors.

Authors and Affiliations

1. Department of Genetics, Stanford University, Stanford, CA, USA

   Jacob Matthew Schreiber, Jin wook Lee, Jefrey P. Spence, Minyi Shi, Jessika Adrian, Lixia Jiang, Xinqiong Yang, J. Seth Strattan, Michael P. Snyder & Anshul Bharat Kundaje

2. Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA

   Carles A. Boix & Manolis Kellis

3. Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA

   Hongyang Li & Yuanfang Guan

4. Department of Research and Development, DeepSeq.AI, San Francisco, CA, USA

   Chun-Chieh Chang

5. RIKEN Center for Integrative Medical Sciences, Yokohama, Japan

   Jen-Chien Chang

6. Department of Empirical Inference, Max Planck Institute for Intelligent Systems, Stuttgart, Germany

   Alex Hawkins-Hooker, Bernhard Schölkopf & Mateo Rojas Carulla

7. School of Life Sciences, University of Dundee, Dundee, UK

   Gabriele Schweikert

8. Department of Electronics, Information and Bioengineering, Politecnico Di Milano, Milan, Italy

   Arif Canakoglu, Francesco Guzzo, Marco Masseroli, Mark James Carman & Pietro Pinoli

9. Department of Computational Biology, University of Lausanne, Lausanne, Switzerland

   Luca Nanni

10. Department of Computer Science and Engineering, The Chinese University of Hong Kong, Sha Tin, Hong Kong

    Chenyang Hong

11. Sanford Burnham Prebys Medical Discovery Institute, San Diego, CA, USA

    Kevin Y. Yip

12. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA

    Sanjit Singh Batra & Yun S. Song

13. Department of Statistics, University of California, Berkeley, Berkeley, CA, USA

    Yun S. Song

14. Department of Biochemistry & Molecular Biology, Center for Eukaryotic Gene Regulation, Pennsylvania State University, University Park, PA, USA

    Shaun Mahony

15. Department of Statistics, Pennsylvania State University, University Park, PA, USA

    Zheng Zhang

16. Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA

    Wuwei Tan, Yang Shen & Yuanfei Sun

17. Altius Institute, Seattle, WA, USA

    Richard S. Sandstrom, Jessica M. Halow & Kristen Lee

18. Epigenomics Program, The Broad Institute of MIT and Harvard, Cambridge, MA, USA

    Nina P. Farrell, Charles B. Epstein & Bradley E. Bernstein

19. Department of Genome Sciences, University of Washington, Seattle, WA, USA

    William S. Noble

20. Department of Computer Science, Stanford University, Stanford, CA, USA

    Anshul Bharat Kundaje

Authors

1. Jacob Matthew SchreiberView author publications

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2. Carles A. BoixView author publications

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3. Jin wook LeeView author publications

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ENCODE Imputation Challenge Participants

Corresponding author

Correspondence to Jacob Matthew Schreiber.

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Schreiber, J.M., Boix, C.A., wook Lee, J. et al. Publisher Correction: The ENCODE Imputation Challenge: a critical assessment of methods for cross-cell type imputation of epigenomic profiles. Genome Biol 26, 31 (2025). https://doi.org/10.1186/s13059-025-03494-w

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• Published: 13 February 2025

• DOI: https://doi.org/10.1186/s13059-025-03494-w

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