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Bayesian Networks Predict Neuronal Transdifferentiation

We employ the language of Bayesian networks to systematically construct gene-regulation topologies from deep-sequencing single-nucleus RNA-Seq data for human neurons. From the perspective of the cell-state potential landscape, we identify attractors that correspond closely to different neuron subtyp...

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Detalles Bibliográficos
Autores principales:	Ainsworth, Richard I., Ai, Rizi, Ding, Bo, Li, Nan, Zhang, Kai, Wang, Wei
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Genetics Society of America 2018
Materias:	Investigations
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6027867/ https://www.ncbi.nlm.nih.gov/pubmed/29848620 http://dx.doi.org/10.1534/g3.118.200401

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