Comprehensive network modeling approaches unravel dynamic enhancer-promoter interactions across neural differentiation
Author:
Funder
National Institute of Mental Health and Neurosciences
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1186/s13059-024-03365-w.pdf
Reference64 articles.
1. Li L, Wunderlich Z. An enhancer’s length and composition are shaped by its regulatory task. Front Genet. 2017;8:63.
2. Schoenfelder S, Fraser P. Long-range enhancer-promoter contacts in gene expression control. Nat Rev Genet. 2019;20(8):437–55.
3. Pennacchio LA, Bickmore W, Dean A, Nobrega MA, Bejerano G. Enhancers: five essential questions. Nat Rev Genet. 2013;14(4):288–95.
4. Le NQK, Yapp EKY, Nagasundaram N, Yeh HY. Classifying promoters by interpreting the hidden information of DNA sequences via deep learning and combination of continuous FastText N-Grams. Front Bioeng Biotechnol. 2019;7:305.
5. Heinz S, Romanoski CE, Benner C, Glass CK. The selection and function of cell type-specific enhancers. Nat Rev Mol Cell Biol. 2015;16(3):144–54.
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