Supervised and unsupervised deep learning-based approaches for studying DNA replication spatiotemporal dynamics
J. Ng-Kee-Kwong, B. Philps, F. N. C. Smith, A. Sobieska, N. Chen, C. Alabert, H. Bilen, S. Buonomo
This study uses supervised and unsupervised deep learning to analyze DNA replication dynamics in mouse cells, identifying altered patterns in Rif1-deficient cells and extending to patient samples.
bioRxiv · May 9, 2024Cell Biology