Editorial
doi: 10.1038/s41576-019-0118-2.
Optimizing biological inferences from single-cell data
- PMID: 30911142
- DOI: 10.1038/s41576-019-0118-2
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Editorial
Optimizing biological inferences from single-cell data
Nat Rev Genet.
2019 May.
No abstract available
Comment on
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Challenges in unsupervised clustering of single-cell RNA-seq data.Nat Rev Genet. 2019 May;20(5):273-282. doi: 10.1038/s41576-018-0088-9. Nat Rev Genet. 2019. PMID: 30617341 Review.
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Integrative single-cell analysis.Nat Rev Genet. 2019 May;20(5):257-272. doi: 10.1038/s41576-019-0093-7. Nat Rev Genet. 2019. PMID: 30696980 Review.
References
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- Cao, J. et al. Nature 566, 496–502 (2019). - DOI
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- Kiselev, V. Y., Andrews, T. S. & Hemberg, M. Nat. Rev. Genet. https://doi.org/10.1038/s41576-018-0088-9 (2019). - DOI - PubMed
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- Stuart, T. & Satija, R. Nat. Rev. Genet. https://doi.org/10.1038/s41576-019-0093-7 (2019). - DOI - PubMed
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