| Autor: |
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 |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
Nature Communications, Vol 10, Iss 1, Pp 1-12 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
2041-1723 |
| DOI: |
10.1038/s41467-019-12291-6 |
| Popis: |
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 programs in gynecologic and basal breast cancers. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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