Anomaly detection in gene expression via stochastic models of gene regulatory networks

BACKGROUND: The steady-state behaviour of gene regulatory networks (GRNs) can provide crucial evidence for detecting disease-causing genes. However, monitoring the dynamics of GRNs is particularly difficult because biological data only reflects a snapshot of the dynamical behaviour of the living org...

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Detalles Bibliográficos
Autores principales: Kim, Haseong, Gelenbe, Erol
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2788379/
https://www.ncbi.nlm.nih.gov/pubmed/19958490
http://dx.doi.org/10.1186/1471-2164-10-S3-S26

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2788379/
https://www.ncbi.nlm.nih.gov/pubmed/19958490
http://dx.doi.org/10.1186/1471-2164-10-S3-S26

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