Cargando…
Integrating multiple single-cell multi-omics samples with Smmit
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 sam...
Autores principales: | Wan, Changxin, Ji, Zhicheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10104121/ https://www.ncbi.nlm.nih.gov/pubmed/37066420 http://dx.doi.org/10.1101/2023.04.06.535857 |
Ejemplares similares
-
Unsupervised topological alignment for single-cell multi-omics integration
por: Cao, Kai, et al.
Publicado: (2020) -
Computational strategies for single-cell multi-omics integration
por: Adossa, Nigatu, et al.
Publicado: (2021) -
MOGSA: Integrative Single Sample Gene-set Analysis of Multiple Omics Data
por: Meng, Chen, et al.
Publicado: (2019) -
Paired single-cell multi-omics data integration with Mowgli
por: Huizing, Geert-Jan, et al.
Publicado: (2023) -
Integrated multi-omics single cell atlas of the human retina
por: Li, Jin, et al.
Publicado: (2023)