five

Supervised and unsupervised deep learning-based approaches for studying DNA replication spatiotemporal dynamics

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Scottish Government Open Data Portal2024-12-06 更新2026-05-09 收录
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https://www.research.ed.ac.uk/en/datasets/supervised-and-unsupervised-deep-learning-based-approaches-for-st
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This project aimed to demonstrate how deep learning could be leveraged for studying DNA replication spatiotemporal dynamics. Through well-characterised cellular models, we showed in both supervised and unsupervised settings how convolutional neural networks could successfully identify aberrant DNA replication dynamics, while additionally reconstructing progression through S-phase. We make the associated image datasets available here. Please refer to README.txt for further information.
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2024-12-06
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