A Bayesian Network Driven Approach to Model the Transcriptional Response to Nitric Oxide in Saccharomyces cerevisiae

The transcriptional response to exogenously supplied nitric oxide in Saccharomyces cerevisiae was modeled using an integrated framework of Bayesian network learning and experimental feedback. A Bayesian network learning algorithm was used to generate network models of transcriptional output, followe...

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Detalles Bibliográficos
Autores principales: Zhu, Jingchun, Jambhekar, Ashwini, Sarver, Aaron, DeRisi, Joseph
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2006
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1762306/
https://www.ncbi.nlm.nih.gov/pubmed/17183726
http://dx.doi.org/10.1371/journal.pone.0000094

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1762306/
https://www.ncbi.nlm.nih.gov/pubmed/17183726
http://dx.doi.org/10.1371/journal.pone.0000094

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