7 search results - page 1 / 2 » Learning transcriptional regulatory networks from high throu... |
BMCBI
2008
13 years 4 months ago
2008
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
BMCBI
2006
13 years 4 months ago
2006
Background: High throughput gene expression experiments yield large amounts of data that can augment our understanding of disease processes, in addition to classifying samples. He...
BMCBI
2007
13 years 4 months ago
2007
Background: In many approaches to the inference and modeling of regulatory interactions using microarray data, the expression of the gene coding for the transcription factor is co...
ISMB
2004
13 years 5 months ago
2004
Motivation: Sigma factors regulate the expression of genes in Bacillus subtilis at the transcriptional level. First we assess the ability of currently available gene regulatory ne...
BMCBI
2010
13 years 4 months ago
2010
Background: A gene-regulatory network (GRN) refers to DNA segments that interact through their RNA and protein products and thereby govern the rates at which genes are transcribed...