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

Genome Biology volume 23, Article number: 104 (2022) Cite this article

The Original Article was published on 21 March 2022

Correction to: Genome Biol 23, 82 (2022)

https://0-doi-org.brum.beds.ac.uk/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://0-doi-org.brum.beds.ac.uk/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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Authors and Affiliations

  1. School of Mathematics and Physics, China University of Geosciences, Wuhan, 430074, Hubei, China

    Kun Qian & Hongwei Li

  2. Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA

    Shiwei Fu & Wei Vivian Li

Authors
  1. Kun Qian
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  2. Shiwei Fu
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  3. Hongwei Li
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  4. Wei Vivian Li
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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://0-doi-org.brum.beds.ac.uk/10.1186/s13059-022-02672-4

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  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s13059-022-02672-4

Genome Biology

ISSN: 1474-760X

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