48 search results - page 7 / 10 » Applying dynamic Bayesian networks to perturbed gene express... |
BMCBI
2010
13 years 4 months ago
2010
Background: Large microarray datasets have enabled gene regulation to be studied through coexpression analysis. While numerous methods have been developed for identifying differen...
BMCBI
2010
13 years 5 months ago
2010
Background: Microarray data discretization is a basic preprocess for many algorithms of gene regulatory network inference. Some common discretization methods in informatics are us...
BMCBI
2007
13 years 5 months ago
2007
Background: Most existing algorithms for the inference of the structure of gene regulatory networks from gene expression data assume that the activity levels of transcription fact...
BMCBI
2010
13 years 5 months ago
2010
Background: Inference of gene regulatory networks is a key goal in the quest for understanding fundamental cellular processes and revealing underlying relations among genes. With ...
BMCBI
2010
13 years 5 months ago
2010
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...