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

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

Epigenomic data on chromatin accessibility and transcription factor occupancy can reveal enhancer landscapes in cancer. Here, the authors develop a computational strategy called PSIONIC (patient-specific inference of networks informed by chromatin) to model the impact of enhancers on transcriptional...

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Bibliographic Details
Main Authors: Hatice U. Osmanbeyoglu, Fumiko Shimizu, Angela Rynne-Vidal, Direna Alonso-Curbelo, Hsuan-An Chen, Hannah Y. Wen, Tsz-Lun Yeung, Petar Jelinic, Pedram Razavi, Scott W. Lowe, Samuel C. Mok, Gabriela Chiosis, Douglas A. Levine, Christina S. Leslie
Format: Article
Language:English
Published: Nature Publishing Group 2019-09-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-019-12291-6

Internet

https://doi.org/10.1038/s41467-019-12291-6

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