Applying dynamic Bayesian networks to perturbed gene expression data

BACKGROUND: A central goal of molecular biology is to understand the regulatory mechanisms of gene transcription and protein synthesis. Because of their solid basis in statistics, allowing to deal with the stochastic aspects of gene expressions and noisy measurements in a natural way, Bayesian netwo...

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Detalles Bibliográficos
Autores principales: Dojer, Norbert, Gambin, Anna, Mizera, Andrzej, Wilczyński, Bartek, Tiuryn, Jerzy
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1513402/
https://www.ncbi.nlm.nih.gov/pubmed/16681847
http://dx.doi.org/10.1186/1471-2105-7-249

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1513402/
https://www.ncbi.nlm.nih.gov/pubmed/16681847
http://dx.doi.org/10.1186/1471-2105-7-249

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