Cargando…
DC3 is a method for deconvolution and coupled clustering from bulk and single-cell genomics data
Characterizing and interpreting heterogeneous mixtures at the cellular level is a critical problem in genomics. Single-cell assays offer an opportunity to resolve cellular level heterogeneity, e.g., scRNA-seq enables single-cell expression profiling, and scATAC-seq identifies active regulatory eleme...
Autores principales: | Zeng, Wanwen, Chen, Xi, Duren, Zhana, Wang, Yong, Jiang, Rui, Wong, Wing Hung |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787340/ https://www.ncbi.nlm.nih.gov/pubmed/31601804 http://dx.doi.org/10.1038/s41467-019-12547-1 |
Ejemplares similares
-
Integrative analysis of single-cell genomics data by coupled nonnegative matrix factorizations
por: Duren, Zhana, et al.
Publicado: (2018) -
A method for scoring the cell type-specific impacts of noncoding variants in personal genomes
por: Li, Wenran, et al.
Publicado: (2020) -
Unsupervised clustering and epigenetic classification of single cells
por: Zamanighomi, Mahdi, et al.
Publicado: (2018) -
Modeling regulatory network topology improves genome-wide analyses of complex human traits
por: Zhu, Xiang, et al.
Publicado: (2021) -
Time course regulatory analysis based on paired expression and chromatin accessibility data
por: Duren, Zhana, et al.
Publicado: (2020)