Capturing dynamic relevance in Boolean networks using graph theoretical measures

MOTIVATION: Interaction graphs are able to describe regulatory dependencies between compounds without capturing dynamics. In contrast, mathematical models that are based on interaction graphs allow to investigate the dynamics of biological systems. However, since dynamic complexity of these models g...

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Detalles Bibliográficos
Autores principales: Weidner, Felix M, Schwab, Julian D, Werle, Silke D, Ikonomi, Nensi, Lausser, Ludwig, Kestler, Hans A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545349/
https://www.ncbi.nlm.nih.gov/pubmed/33983406
http://dx.doi.org/10.1093/bioinformatics/btab277

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545349/
https://www.ncbi.nlm.nih.gov/pubmed/33983406
http://dx.doi.org/10.1093/bioinformatics/btab277

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