Using deep learning to quantify neuronal activation from single-cell and spatial transcriptomic data

Research article (Nature Communications, 2024) · cited 29× · AI/ML
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Using deep learning to quantify neuronal activation from single-cell and spatial transcriptomic data

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Using deep learning to quantify neuronal activation from single-cell and spatial transcriptomic data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Using deep learning to quantify neuronal activation from single-cell and spatial transcriptomic data. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-deep-learning-to-quantify-neuronal-activation-from-single-cell-and-spatial-transcriptomic-data
MLA “Using deep learning to quantify neuronal activation from single-cell and spatial transcriptomic data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-deep-learning-to-quantify-neuronal-activation-from-single-cell-and-spatial-transcriptomic-data.
BibTeX @misc{4ortxyz_using-deep-learning-to-quantify-neuronal-activation-from-single-cell-and-spatial-transcriptomic-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using deep learning to quantify neuronal activation from single-cell and spatial transcriptomic data}}, year = {2026}, url = {https://4ort.xyz/entity/using-deep-learning-to-quantify-neuronal-activation-from-single-cell-and-spatial-transcriptomic-data}, note = {Accessed: 2026-05-24}}
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