Chromatin-informed inference of transcriptional programs in gynecologic and basal breast cancers

Chromatin accessibility data can elucidate the developmental origin of cancer cells and reveal the enhancer landscape of key oncogenic transcriptional regulators. We develop a computational strategy called PSIONIC (patient-specific inference of networks informed by chromatin) to combine chromatin ac...

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Detalles Bibliográficos
Autores principales: Osmanbeyoglu, Hatice U., Shimizu, Fumiko, Rynne-Vidal, Angela, Alonso-Curbelo, Direna, Chen, Hsuan-An, Wen, Hannah Y., Yeung, Tsz-Lun, Jelinic, Petar, Razavi, Pedram, Lowe, Scott W., Mok, Samuel C., Chiosis, Gabriela, Levine, Douglas A., Leslie, Christina S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6761109/
https://www.ncbi.nlm.nih.gov/pubmed/31554806
http://dx.doi.org/10.1038/s41467-019-12291-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6761109/
https://www.ncbi.nlm.nih.gov/pubmed/31554806
http://dx.doi.org/10.1038/s41467-019-12291-6

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