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Reconstructing cell cycle pseudo time-series via single-cell transcriptome data

Single-cell mRNA sequencing, which permits whole transcriptional profiling of individual cells, has been widely applied to study growth and development of tissues and tumors. Resolving cell cycle for such groups of cells is significant, but may not be adequately achieved by commonly used approaches....

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書目詳細資料
發表在:Nat Commun
Main Authors: Liu, Zehua, Lou, Huazhe, Xie, Kaikun, Wang, Hao, Chen, Ning, Aparicio, Oscar M., Zhang, Michael Q., Jiang, Rui, Chen, Ting
格式: Artigo
語言:Inglês
出版: Nature Publishing Group UK 2017
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC5476636/
https://ncbi.nlm.nih.gov/pubmed/28630425
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-017-00039-z
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