Temporal modelling using single-cell transcriptomics
Author:
Publisher
Springer Science and Business Media LLC
Subject
Genetics (clinical),Genetics,Molecular Biology
Link
https://www.nature.com/articles/s41576-021-00444-7.pdf
Reference102 articles.
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2. Zou, Z. et al. A single-cell transcriptomic atlas of human skin aging. Dev. Cell 56, 383–397.e8 (2021).
3. Stuart, T. & Satija, R. Integrative single-cell analysis. Nat. Rev. Genet. 20, 257–272 (2019).
4. Alavi, A., Ruffalo, M., Parvangada, A., Huang, Z. & Bar-Joseph, Z. A web server for comparative analysis of single-cell RNA-seq data. Nat. Commun. 9, 4768 (2018).
5. Dumitrascu, B., Villar, S., Mixon, D. G. & Engelhardt, B. E. Optimal marker gene selection for cell type discrimination in single cell analyses. Nat. Commun. 12, 1186 (2021).
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