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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Detalles Bibliográficos
Autores principales: Liu, Zehua, Lou, Huazhe, Xie, Kaikun, Wang, Hao, Chen, Ning, Aparicio, Oscar M., Zhang, Michael Q., Jiang, Rui, Chen, Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5476636/
https://www.ncbi.nlm.nih.gov/pubmed/28630425
http://dx.doi.org/10.1038/s41467-017-00039-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5476636/
https://www.ncbi.nlm.nih.gov/pubmed/28630425
http://dx.doi.org/10.1038/s41467-017-00039-z

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