DRAGON: Determining Regulatory Associations using Graphical models on multi-Omic Networks

The increasing quantity of multi-omic data, such as methylomic and transcriptomic profiles collected on the same specimen or even on the same cell, provides a unique opportunity to explore the complex interactions that define cell phenotype and govern cellular responses to perturbations. We propose...

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Detalles Bibliográficos
Autores principales: Shutta, Katherine H, Weighill, Deborah, Burkholz, Rebekka, Guebila, Marouen Ben, DeMeo, Dawn L, Zacharias, Helena U, Quackenbush, John, Altenbuchinger, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Methods Online
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9943674/
https://www.ncbi.nlm.nih.gov/pubmed/36533448
http://dx.doi.org/10.1093/nar/gkac1157

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9943674/
https://www.ncbi.nlm.nih.gov/pubmed/36533448
http://dx.doi.org/10.1093/nar/gkac1157

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