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Article Abstract
Accurately identifying senescent cells is essential for studying their spatial and molecular features. We developed DeepScence, a method based on deep neural networks, to identify senescent cells in single-cell and spatial transcriptomics data. DeepScence is based on CoreScence, a senescence-associated gene set we curated that incorporates information from multiple published gene sets. We demonstrate that DeepScence can accurately identify senescent cells in single-cell gene expression data collected both and , as well as in spatial transcriptomics data generated by different platforms, substantially outperforming existing methods.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10690237 | PMC |
| http://dx.doi.org/10.1101/2023.11.21.568150 | DOI Listing |
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