41 search results - page 5 / 9 » Inference of Sparse Networks with Unobserved Variables. Appl... |
BMCBI
2008
13 years 9 months ago
2008
Background: With the abundant information produced by microarray technology, various approaches have been proposed to infer transcriptional regulatory networks. However, few appro...
SDM
2007
SIAM
13 years 10 months ago
2007
SIAM
Given a large sparse graph, how can we find patterns and anomalies? Several important applications can be modeled as large sparse graphs, e.g., network traffic monitoring, resea...
BMCBI
2005
13 years 8 months ago
2005
Background: Reconstructing regulatory networks from gene expression profiles is a challenging problem of functional genomics. In microarray studies the number of samples is often ...
BIBM
2008
IEEE
14 years 3 months ago
2008
IEEE
The study of gene function is critical in various genomic and proteomic fields. Due to the availability of tremendous amounts of different types of protein data, integrating thes...
BIRD
2008
Springer
13 years 10 months ago
2008
Springer
Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...