Cargando…
Joint reconstruction of cis-regulatory interaction networks across multiple tissues using single-cell chromatin accessibility data
The rapid accumulation of single-cell chromatin accessibility data offers a unique opportunity to investigate common and specific regulatory mechanisms across different cell types. However, existing methods for cis-regulatory network reconstruction using single-cell chromatin accessibility data were...
Autores principales: | Dong, Kangning, Zhang, Shihua |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8138825/ https://www.ncbi.nlm.nih.gov/pubmed/32578841 http://dx.doi.org/10.1093/bib/bbaa120 |
Ejemplares similares
-
Deep-joint-learning analysis model of single cell transcriptome and open chromatin accessibility data
por: Zuo, Chunman, et al.
Publicado: (2020) -
InferLoop: leveraging single-cell chromatin accessibility for the signal of chromatin loop
por: Zhang, Feng, et al.
Publicado: (2023) -
Learning single-cell chromatin accessibility profiles using meta-analytic marker genes
por: Kawaguchi, Risa Karakida, et al.
Publicado: (2022) -
Discovering gene regulatory networks of multiple phenotypic groups using dynamic Bayesian networks
por: Suter, Polina, et al.
Publicado: (2022) -
Chromatin loop anchors predict transcript and exon usage
por: Zhang, Yu, et al.
Publicado: (2021)