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. 2024 May 14;16:68. doi: 10.1186/s13073-024-01343-2

Correction: Genome Med 15, 115 & Genome Med 16, 3

Ning Shen 1,2,
PMCID: PMC11092180  PMID: 38745249

Correction: Genome Med 16, 3 (2024)

https://doi.org/10.1186/s13073-023-01274-4

Correction: Genome Med 15, 115 (2023)

https://doi.org/10.1186/s13073-023-01269-1

The original publications of the below articles [1, 2] contained 2 errors. The incorrect and correct information is listed below. The original articles have been updated.

Incorrect

  • 10.1186/s13073-023-01274-4 & 10.1186/s13073-023-01269-1
    • ◦ 1 Department of Hepatobiliary and Pancreatic Surgery, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 311121, China
    • ◦ 2 Liangzhu Laboratory, Zhejiang University, 1369 West Wenyi Road, Hangzhou 311121, China
  • 10.1186/s13073-023-01274-4
    • ◦ This work was supported by the Leading Innovative and Entrepreneur Team Introduction Program of Zhejiang (No. 2021R01012) and the Starting Fund from Zhejiang University.

Correct

  • 10.1186/s13073-023-01274-4 & 10.1186/s13073-023-01269-1
    • ◦ 1 Department of Hepatobiliary and Pancreatic Surgery of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, 311121, China
  • 10.1186/s13073-023-01274-4
    • ◦ This work was supported by the Key R&D Program of Zhejiang (No.2024SSYS0022), the Leading Innovative and Entrepreneur Team Introduction Program of Zhejiang (No. 2021R01012).

References

  • 1.Liu Y, Zhang T, You N, et al. MAGPIE: accurate pathogenic prediction for multiple variant types using machine learning approach. Genome Med. 2024;16:3. doi: 10.1186/s13073-023-01274-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Zhang T, Jia H, Song T, et al. De novo identification of expressed cancer somatic mutations from single-cell RNA sequencing data. Genome Med. 2023;15:115. doi: 10.1186/s13073-023-01269-1. [DOI] [PMC free article] [PubMed] [Google Scholar]

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