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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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Dades bibliogràfiques
Publicat a:Nat Commun
Autors principals: 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.
Format: Artigo
Idioma:Inglês
Publicat: Nature Publishing Group UK 2019
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6761109/
https://ncbi.nlm.nih.gov/pubmed/31554806
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-019-12291-6
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