Revealing Dynamic Mechanisms of Cell Fate Decisions From Single-Cell Transcriptomic Data

Cell fate decisions play a pivotal role in development, but technologies for dissecting them are limited. We developed a multifunction new method, Topographer, to construct a “quantitative” Waddington’s landscape of single-cell transcriptomic data. This method is able to identify complex cell-state...

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Detalles Bibliográficos
Autores principales: Zhang, Jiajun, Nie, Qing, Zhou, Tianshou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6935941/
https://www.ncbi.nlm.nih.gov/pubmed/31921315
http://dx.doi.org/10.3389/fgene.2019.01280

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6935941/
https://www.ncbi.nlm.nih.gov/pubmed/31921315
http://dx.doi.org/10.3389/fgene.2019.01280

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