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Qiu, Peng (2020) Embracing the dropouts in single-cell RNA-seq analysis. Nature Communications, 11. doi:10.1038/s41467-020-14976-9

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Reference TypeJournal (article/letter/editorial)
TitleEmbracing the dropouts in single-cell RNA-seq analysis
JournalNature Communications
AuthorsQiu, PengAuthor
Year2020 (December)Volume11
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1038/s41467-020-14976-9Search in ResearchGate
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Mindat Ref. ID6108980Long-form Identifiermindat:1:5:6108980:8
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Full ReferenceQiu, Peng (2020) Embracing the dropouts in single-cell RNA-seq analysis. Nature Communications, 11. doi:10.1038/s41467-020-14976-9
Plain TextQiu, Peng (2020) Embracing the dropouts in single-cell RNA-seq analysis. Nature Communications, 11. doi:10.1038/s41467-020-14976-9
In(2020) Nature Communications Vol. 11. Springer Science and Business Media LLC

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Poirion, Olivier, Zhu, Xun, Ching, Travers, Garmire, Lana X. (2018) Using single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage. Nature Communications, 9. doi:10.1038/s41467-018-07170-5
Qiu, Qi, Hu, Peng, Qiu, Xiaojie, Govek, Kiya W., Cámara, Pablo G., Wu, Hao (2020) Massively parallel and time-resolved RNA sequencing in single cells with scNT-seq. Nature Methods, 17 (10) 991-1001 doi:10.1038/s41592-020-0935-4
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