Inference and multiscale model of epithelial-to-mesenchymal transition via single-cell transcriptomic data

Rapid growth of single-cell transcriptomic data provides unprecedented opportunities for close scrutinizing of dynamical cellular processes. Through investigating epithelial-to-mesenchymal transition (EMT), we develop an integrative tool that combines unsupervised learning of single-cell transcripto...

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Detalles Bibliográficos
Autores principales: Sha, Yutong, Wang, Shuxiong, Zhou, Peijie, Nie, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515733/
https://www.ncbi.nlm.nih.gov/pubmed/32870263
http://dx.doi.org/10.1093/nar/gkaa725

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515733/
https://www.ncbi.nlm.nih.gov/pubmed/32870263
http://dx.doi.org/10.1093/nar/gkaa725

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