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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2006-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC1762306?pdf=render |