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Reversed graph embedding resolves complex single-cell trajectories

Single-cell trajectories can unveil how gene regulation governs cell fate decisions. However, learning the structure of complex trajectories with two or more branches remains a challenging computational problem. We present Monocle 2, which uses reversed graph embedding to describe multiple fate deci...

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Detalles Bibliográficos
Autores principales: Qiu, Xiaojie, Mao, Qi, Tang, Ying, Wang, Li, Chawla, Raghav, Pliner, Hannah A., Trapnell, Cole
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5764547/
https://www.ncbi.nlm.nih.gov/pubmed/28825705
http://dx.doi.org/10.1038/nmeth.4402
Descripción
Sumario:Single-cell trajectories can unveil how gene regulation governs cell fate decisions. However, learning the structure of complex trajectories with two or more branches remains a challenging computational problem. We present Monocle 2, which uses reversed graph embedding to describe multiple fate decisions in a fully unsupervised manner. Applied to two studies of blood development, Monocle 2 revealed that mutations in key lineage transcription factors diverts cells to alternative fates.