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

Internet

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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