Cargando…
Dynamic regulatory module networks for inference of cell type–specific transcriptional networks
Changes in transcriptional regulatory networks can significantly alter cell fate. To gain insight into transcriptional dynamics, several studies have profiled bulk multi-omic data sets with parallel transcriptomic and epigenomic measurements at different stages of a developmental process. However, i...
Autores principales: | Siahpirani, Alireza Fotuhi, Knaack, Sara, Chasman, Deborah, Seirup, Morten, Sridharan, Rupa, Stewart, Ron, Thomson, James, Roy, Sushmita |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9341506/ https://www.ncbi.nlm.nih.gov/pubmed/35705328 http://dx.doi.org/10.1101/gr.276542.121 |
Ejemplares similares
-
A predictive modeling approach for cell line-specific long-range regulatory interactions
por: Roy, Sushmita, et al.
Publicado: (2016) -
A predictive modeling approach for cell line-specific long-range regulatory interactions
por: Roy, Sushmita, et al.
Publicado: (2015) -
A prior-based integrative framework for functional transcriptional regulatory network inference
por: Siahpirani, Alireza F., et al.
Publicado: (2017) -
A Pan-Cancer Modular Regulatory Network Analysis to Identify Common and Cancer-Specific Network Components
por: Knaack, Sara A, et al.
Publicado: (2014) -
Inference of cell type-specific gene regulatory networks on cell lineages from single cell omic datasets
por: Zhang, Shilu, et al.
Publicado: (2023)