Using deep learning to quantify neuronal activation from single-cell and spatial transcriptomic data
Abstract Neuronal activity-dependent transcription directs molecular processes that regulate synaptic plasticity, brain circuit development, behavioral adaptation, and long-term memory. Single cell RNA-sequencing technologies (scRNAseq) are rapidly developing and allow for the interrogation of activ...
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| Autori principali: | , , , , , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Portfolio
2024-01-01
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| Serie: | Nature Communications |
| Accesso online: | https://doi.org/10.1038/s41467-023-44503-5 |
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