Skip to main content
Genome Biology logoLink to Genome Biology
. 2022 Apr 21;23:104. doi: 10.1186/s13059-022-02672-4

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

Kun Qian 1, Shiwei Fu 2, Hongwei Li 1, Wei Vivian Li 2,✉
PMCID: PMC9027830  PMID: 35449066

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.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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. doi: 10.1186/s13059-022-02649-3. [DOI] [PMC free article] [PubMed] [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):6606–6617. doi: 10.1093/nar/gkz488. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Genome Biology are provided here courtesy of BMC

RESOURCES