Cargando…
MIMOSA: A resource consisting of improved methylome imputation models increases power to identify DNA methylation-phenotype associations
Although DNA methylation has been implicated in the pathogenesis of numerous complex diseases, the exact methylation sites that play key roles in these processes remain elusive. One strategy to identify putative causal CpG sites and enhance disease etiology understanding is to conduct methylome-wide...
Autores principales: | Melton, Hunter J., Zhang, Zichen, Deng, Hong-Wen, Wu, Lang, Wu, Chong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10055581/ https://www.ncbi.nlm.nih.gov/pubmed/36993614 http://dx.doi.org/10.1101/2023.03.20.23287418 |
Ejemplares similares
-
SUMMIT-FA: A new resource for improved transcriptome imputation using functional annotations
por: Melton, Hunter J., et al.
Publicado: (2023) -
Melissa: Bayesian clustering and imputation of single-cell methylomes
por: Kapourani, Chantriolnt-Andreas, et al.
Publicado: (2019) -
CpG Transformer for imputation of single-cell methylomes
por: De Waele, Gaetan, et al.
Publicado: (2021) -
SUMMIT: An integrative approach for better transcriptomic data imputation improves causal gene identification
por: Zhang, Zichen, et al.
Publicado: (2022) -
An Electrometric Study of Mimosa
por: Burr, H. S.
Publicado: (1943)