Cargando…
scMD: cell type deconvolution using single-cell DNA methylation references
The proliferation of single-cell RNA sequencing data has led to the widespread use of cellular deconvolution, aiding the extraction of cell type-specific information from extensive bulk data. However, those advances have been mostly limited to transcriptomic data. With recent development in single-c...
Autores principales: | Cai, Manqi, Zhou, Jingtian, McKennan, Chris, Wang, Jiebiao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10418231/ https://www.ncbi.nlm.nih.gov/pubmed/37577715 http://dx.doi.org/10.1101/2023.08.03.551733 |
Ejemplares similares
-
Accurate estimation of rare cell type fractions from tissue omics data via hierarchical deconvolution
por: Huang, Penghui, et al.
Publicado: (2023) -
Reference-free deconvolution of DNA methylation data and mediation by cell composition effects
por: Houseman, E. Andres, et al.
Publicado: (2016) -
Copy-scAT: Deconvoluting single-cell chromatin accessibility of genetic subclones in cancer
por: Nikolic, Ana, et al.
Publicado: (2021) -
scAVENGERS: a genotype-based deconvolution of individuals in multiplexed single-cell ATAC-seq data without reference genotypes
por: Han, Seungbeom, et al.
Publicado: (2022) -
A Novel Framework for the Identification of Reference DNA Methylation Libraries for Reference-Based Deconvolution of Cellular Mixtures
por: Bell-Glenn, Shelby, et al.
Publicado: (2022)