Integrating large-scale single-cell RNA sequencing in central nervous system disease using self-supervised contrastive learning
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s42003-024-06813-2.pdf
Reference64 articles.
1. Wang, Z. et al. Single-cell transcriptomic analyses provide insights into the cellular origins and drivers of brain metastasis from lung adenocarcinoma. Neuro Oncol. 25, 1262–1274 (2023).
2. Grubman, A. et al. A single-cell atlas of entorhinal cortex from individuals with Alzheimer’s disease reveals cell-type-specific gene expression regulation. Nat. Neurosci. 22, 2087–2097 (2019).
3. Deleersnijder, D. et al. Current methodological challenges of single-cell and single-nucleus RNA-sequencing in glomerular diseases. J. Am. Soc. Nephrol. 32, 1838–1852 (2021).
4. Yang, M. et al. Contrastive learning enables rapid mapping to multimodal single-cell atlas of multimillion scale. Nat. Mach. Intell. 4, 696–709 (2022).
5. Lee, H. G., Lee, J. H., Flausino, L. E. & Quintana, F. J. Neuroinflammation: An astrocyte perspective. Sci. Transl. Med. 15, eadi7828 (2023).
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