Integrating multiple single-cell multi-omics samples with Smmit.
bioRxiv
; 2023 Apr 06.
Article
em En
| MEDLINE
| ID: mdl-37066420
ABSTRACT
Multi-sample single-cell multi-omics datasets, which simultaneously measure multiple data modalities in the same cells and in multiple samples, facilitate the study of gene expression and gene regulatory activities on a population scale. Existing integration methods can integrate either multiple samples or multiple modalities, but not both simultaneously. To address this limitation, we developed Smmit, a computational pipeline that leverages existing integration methods to simultaneously integrate both samples and modalities and produces a unified representation of reduced dimensions. We demonstrate Smmit's capability to integrate information across samples and modalities while preserving cell type differences in two real datasets. Smmit is an R software package that is freely available at Github https//github.com/zji90/Smmit.
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MEDLINE
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Ano de publicação:
2023
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Article