AI learns from chromatin data to uncover gene interactions
Klemm, S. L., Shipony, Z. & Greenleaf, W. J. Nature Rev. Genet. 20, 207–220 (2019).
Google Scholar
Fu, X. et al. Nature https://doi.org/10.1038/s41586-024-08391-z (2025).
Google Scholar
Kelley, D. R. et al. Genome Res. 28, 739–750 (2018).
Google Scholar
Fudenberg, G., Kelley, D. R. & Pollard, K. S. Nature Methods 17, 1111–1117 (2020).
Google Scholar
Avsec, Ž. et al. Nature Methods 18, 1196–1203 (2021).
Google Scholar
Pampari, A. et al. Preprint at Zenodo https://doi.org/10.5281/zenodo.10396047 (2023).
Yang, F. et al. Nature Mach. Intell. 4, 852–866 (2022).
Google Scholar
Theodoris, C. V. et al. Nature 618, 616–624 (2023).
Google Scholar
Cui, H. et al. Nature Methods 21, 1470–1480 (2024).
Google Scholar
Hao, M. et al. Nature Methods 21, 1481–1491 (2024).
Google Scholar
Rosen, Y. et al. Preprint at bioRxiv https://doi.org/10.1101/2023.11.28.568918 (2023).
Ma, S. et al. Cell 183, 1103–1116 (2020).
Google Scholar
Lynch, A. W. et al. Nature Methods 19, 1097–1108 (2022).
Google Scholar
Frangoul, H. et al. N. Engl. J. Med. 384, 252–260 (2021).
Google Scholar
Bryant, P., Pozzati, G. & Elofsson, A. Nature Commun. 13, 1265 (2022).
Google Scholar
Nguyen, T. T. et al. Development 151, dev202095 (2024).
Google Scholar
Shepherdson, J. L. et al. Am. J. Hum. Genet. 111, 487–508 (2024).
Google Scholar
Shah, S. et al. Nature Genet. 45, 1226–1231 (2013).
Google Scholar
