19 search results - page 2 / 4 » Inference of gene regulatory networks using s-system and dif... |
BMCBI
2010
13 years 5 months ago
2010
Background: The evolution of high throughput technologies that measure gene expression levels has created a data base for inferring GRNs (a process also known as reverse engineeri...
BMCBI
2010
13 years 6 days ago
2010
Background: The correlation between the expression levels of transcription factors and their target genes can be used to infer interactions within animal regulatory networks, but ...
BMCBI
2008
13 years 5 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...
WABI
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Computational inference of transcriptional regulatory networks remains a challenging problem, in part due to the lack of strong network models. In this paper we present e...
BMCBI
2008
13 years 5 months ago
2008
Background: Network Component Analysis (NCA) has shown its effectiveness in discovering regulators and inferring transcription factor activities (TFAs) when both microarray data a...