Article

Deep Representation Learning for Temporal Inference in Cancer Omics: A Systematic Review

2025-06-05

Abstract excerpt

Deep learning methods, including deep representation learning (DRL) approaches such as variational au-toencoders (VAEs), have been widely applied to cancer omics data to address the high dimensionality of these datasets. Despite remarkable advances, cancer remains a complex and dynamic disease that is challenging to study, and the temporal resolution of cancer progression captured by omics-based studies remains li...

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Literature Corpus work: 81864330-30a1-5d2f-836b-a1a3d3985ff9
DOI: 10.1101/2025.05.29.656750

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