Unsupervised trajectory analysis of single-cell RNA-seq and imaging data reveals alternate tuft cell origins in the gut

Modern single-cell technologies allow multiplexed sampling of cellular states within a tissue. However, computational tools that can infer developmental cell-state transitions reproducibly from such single-cell data are lacking. Here, we introduce p-Creode, an unsupervised algorithm that produces mu...

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Detalhes bibliográficos
Publicado no:Cell Syst
Main Authors: Herring, Charles A., Banerjee, Amrita, McKinley, Eliot T., Simmons, Alan J., Ping, Jie, Roland, Joseph T., Franklin, Jeffrey L., Liu, Qi, Gerdes, Michael J., Coffey, Robert J., Lau, Ken S.
Formato: Artigo
Idioma:Inglês
Publicado em: 2017
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5799016/
https://ncbi.nlm.nih.gov/pubmed/29153838
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cels.2017.10.012
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