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...

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Detalles Bibliográficos
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:
Method
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

Internet

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

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