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Editorial
. 2023 Jan 4:13:1121999.
doi: 10.3389/fgene.2022.1121999. eCollection 2022.

Editorial: Integrative analysis of single-cell and/or bulk multi-omics sequencing data

Geng Chen  1 , Rongshan Yu  2 , Xingdong Chen  3
Affiliations
Editorial

Editorial: Integrative analysis of single-cell and/or bulk multi-omics sequencing data

Geng Chen et al. Front Genet. .
No abstract available

Keywords: bulk sequencing; data integration; integrative analysis; multi-omics; single-cell sequencing.

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Conflict of interest statement

Author GC was employed by the company Stemirna Therapeutics Co., Ltd. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
Overview of integrative analysis of multi-omics data generated from different bulk and single-cell sequencing technologies.
See this image and copyright information in PMC

Comment on

  • Editorial on the Research Topic Integrative analysis of single-cell and/or bulk multi-omics sequencing data

References

    1. Aibar S., Gonzalez-Blas C. B., Moerman T., Huynh-Thu V. A., Imrichova H., Hulselmans G., et al. (2017). Scenic: single-cell regulatory network inference and clustering. Nat. Methods 14, 1083–1086. 10.1038/nmeth.4463 - DOI - PMC - PubMed
    1. Decamps C., Privé F., Bacher R., Jost D., Waguet A., Houseman E. A., et al. (2020). Guidelines for cell-type heterogeneity quantification based on a comparative analysis of reference-free DNA methylation deconvolution software. BMC Bioinforma. 21, 16. 10.1186/s12859-019-3307-2 - DOI - PMC - PubMed
    1. Haghverdi L., Lun A. T. L., Morgan M. D., Marioni J. C. (2018). Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors. Nat. Biotechnol. 36, 421–427. 10.1038/nbt.4091 - DOI - PMC - PubMed
    1. Hasin Y., Seldin M., Lusis A. (2017). Multi-omics approaches to disease. Genome Biol. 18, 83. 10.1186/s13059-017-1215-1 - DOI - PMC - PubMed
    1. Jiang Y., Wang J., Sun M., Zuo D., Wang H., Shen J., et al. (2022). Multi-omics analysis identifies osteosarcoma subtypes with distinct prognosis indicating stratified treatment. Nat. Commun. 13, 7207. 10.1038/s41467-022-34689-5 - DOI - PMC - PubMed

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