CELLoGeNe - An energy landscape framework for logical networks controlling cell decisions

Experimental and computational efforts are constantly made to elucidate mechanisms controlling cell fate decisions during development and reprogramming. One powerful computational method is to consider cell commitment and reprogramming as movements in an energy landscape. Here, we develop Computatio...

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Detalles Bibliográficos
Autores principales: Andersson, Emil, Sjö, Mattias, Kaji, Keisuke, Olariu, Victor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356104/
https://www.ncbi.nlm.nih.gov/pubmed/35942105
http://dx.doi.org/10.1016/j.isci.2022.104743

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356104/
https://www.ncbi.nlm.nih.gov/pubmed/35942105
http://dx.doi.org/10.1016/j.isci.2022.104743

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