A Kalman-Filter Based Approach to Identification of Time-Varying Gene Regulatory Networks

MOTIVATION: Conventional identification methods for gene regulatory networks (GRNs) have overwhelmingly adopted static topology models, which remains unchanged over time to represent the underlying molecular interactions of a biological system. However, GRNs are dynamic in response to physiological...

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Detalles Bibliográficos
Autores principales: Xiong, Jie, Zhou, Tong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3792119/
https://www.ncbi.nlm.nih.gov/pubmed/24116005
http://dx.doi.org/10.1371/journal.pone.0074571

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3792119/
https://www.ncbi.nlm.nih.gov/pubmed/24116005
http://dx.doi.org/10.1371/journal.pone.0074571

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