Two methods for comparing single-cell expression data sets help address the challenge of integrating data across conditions and experiments.
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References
Kiselev, V.Yu., Yiu, A. & Hemberg, M. Nat. Methods 15, 359–362 (2018).
Alpert, A., Moore, L.S., Dubovik, T. & Shen-Orr, S.S. Nat. Methods 15, 267–270 (2018).
Trapnell, C. et al. Nat. Biotechnol. 32, 381–386 (2014).
Regev, A. et al. bioRxiv Preprint at http://biorxiv.org/content/early/2017/05/08/121202 (2017).
Butler, A., Hoffman, P., Smibert, P., Papalexi, E. & Satija, R. Nat. Biotechnol. https://doi.org/10.1038/nbt.4096 (2018).
Haghverdi, L., Lun, A.T.L., Morgan, M.D. & Marioni, J.C. Nat. Biotechnol. https://doi.org/10.1038/nbt.4091 (2018).
Ibarra-Soria, X. et al. Nat. Cell Biol. 20, 127–134 (2018).
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Hamey, F., Göttgens, B. Sorting apples from oranges in single-cell expression comparisons. Nat Methods 15, 321–322 (2018). https://doi.org/10.1038/nmeth.4675
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DOI: https://doi.org/10.1038/nmeth.4675