A unified approach for sparse dynamical system inference from temporal measurements

MOTIVATION: Temporal variations in biological systems and more generally in natural sciences are typically modeled as a set of ordinary, partial or stochastic differential or difference equations. Algorithms for learning the structure and the parameters of a dynamical system are distinguished based...

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Detalles Bibliográficos
Autores principales: Pantazis, Yannis, Tsamardinos, Ioannis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6748758/
https://www.ncbi.nlm.nih.gov/pubmed/30715136
http://dx.doi.org/10.1093/bioinformatics/btz065

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6748758/
https://www.ncbi.nlm.nih.gov/pubmed/30715136
http://dx.doi.org/10.1093/bioinformatics/btz065

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