Applying dynamic Bayesian networks to perturbed gene expression data
<p>Abstract</p> <p>Background</p> <p>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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2006-05-01
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Series: | BMC Bioinformatics |
Online Access: | http://www.biomedcentral.com/1471-2105/7/249 |