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Author Correction: scINSIGHT for interpreting single-cell gene expression from biologically heterogeneous data

The Original Article was published on 21 March 2022

Correction to: Genome Biol 23, 82 (2022)

https://doi.org/10.1186/s13059-022-02649-3

Following publication of the original article [1], the authors identified a missing reference and citation in the last paragraph of the section “The scINSIGHT model”. The last two sentences of this paragraph should read:

These limitations are resolved by scINSIGHT to better jointly analyze single-cell samples from different biological conditions. In addition, scINSIGHT is different from the CSMF method [2], which learns common and specific patterns among \(J\) datasets from \(J\) conditions.

The original article [1] has been corrected.

References

  1. Qian K, Fu S, Li H, et al. scINSIGHT for interpreting single-cell gene expression from biologically heterogeneous data. Genome Biol. 2022;23:82. https://doi.org/10.1186/s13059-022-02649-3.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Zhang L, Zhang S. Learning common and specific patterns from data of multiple interrelated biological scenarios with matrix factorization. Nucleic Acids Res. 2019;47(13):6606–17.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Correspondence to Wei Vivian Li.

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Qian, K., Fu, S., Li, H. et al. Author Correction: scINSIGHT for interpreting single-cell gene expression from biologically heterogeneous data. Genome Biol 23, 104 (2022). https://doi.org/10.1186/s13059-022-02672-4

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  • DOI: https://doi.org/10.1186/s13059-022-02672-4