Reconstructing cell cycle pseudo time-series via single-cell transcriptome data
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry
Link
http://www.nature.com/articles/s41467-017-00039-z.pdf
Reference49 articles.
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3. Ly, T. et al. A proteomic chronology of gene expression through the cell cycle in human myeloid leukemia cells. Elife 3, e01630 (2014).
4. Wu, A. R. et al. Quantitative assessment of single-cell RNA-sequencing methods. Nat. Methods 11, 41–46 (2014).
5. Tang, F. et al. mRNA-Seq whole-transcriptome analysis of a single cell. Nat. Methods 6, 377–382 (2009).
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