Mapping disease regulatory circuits at cell-type resolution from single-cell multiomics data

Resolving chromatin-remodeling-linked gene expression changes at cell-type resolution is important for understanding disease states. Here we describe MAGICAL (Multiome Accessibility Gene Integration Calling and Looping), a hierarchical Bayesian approach that leverages paired single-cell RNA sequenci...

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Detalles Bibliográficos
Autores principales: Chen, Xi, Wang, Yuan, Cappuccio, Antonio, Cheng, Wan-Sze, Zamojski, Frederique Ruf, Nair, Venugopalan D., Miller, Clare M., Rubenstein, Aliza B., Nudelman, German, Tadych, Alicja, Theesfeld, Chandra L., Vornholt, Alexandria, George, Mary-Catherine, Ruffin, Felicia, Dagher, Michael, Chawla, Daniel G., Soares-Schanoski, Alessandra, Spurbeck, Rachel R., Ndhlovu, Lishomwa C., Sebra, Robert, Kleinstein, Steven H., Letizia, Andrew G., Ramos, Irene, Fowler, Vance G., Woods, Christopher W., Zaslavsky, Elena, Troyanskaya, Olga G., Sealfon, Stuart C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10653299/
https://www.ncbi.nlm.nih.gov/pubmed/37974651
http://dx.doi.org/10.1038/s43588-023-00476-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10653299/
https://www.ncbi.nlm.nih.gov/pubmed/37974651
http://dx.doi.org/10.1038/s43588-023-00476-5

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