TCM visualizes trajectories and cell populations from single cell data

Profiling single cell gene expression data over specified time periods are increasingly applied to the study of complex developmental processes. Here, we describe a novel prototype-based dimension reduction method to visualize high throughput temporal expression data for single cell analyses. Our so...

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Detalles Bibliográficos
Autores principales: Gong, Wuming, Kwak, Il-Youp, Koyano-Nakagawa, Naoko, Pan, Wei, Garry, Daniel J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6048168/
https://www.ncbi.nlm.nih.gov/pubmed/30013097
http://dx.doi.org/10.1038/s41467-018-05112-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6048168/
https://www.ncbi.nlm.nih.gov/pubmed/30013097
http://dx.doi.org/10.1038/s41467-018-05112-9

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