Stability of building gene regulatory networks with sparse autoregressive models

BACKGROUND: Biological networks are constantly subjected to random perturbations, and efficient feedback and compensatory mechanisms exist to maintain their stability. There is an increased interest in building gene regulatory networks (GRNs) from temporal gene expression data because of their numer...

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Detalles Bibliográficos
Autores principales: Rajapakse, Jagath C, Mundra, Piyushkumar A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3278833/
https://www.ncbi.nlm.nih.gov/pubmed/22373004
http://dx.doi.org/10.1186/1471-2105-12-S13-S17

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3278833/
https://www.ncbi.nlm.nih.gov/pubmed/22373004
http://dx.doi.org/10.1186/1471-2105-12-S13-S17

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