145 search results - page 4 / 29 » Stochastic models for inferring genetic regulation from micr... |
BIRD
2008
Springer
13 years 9 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...
BMCBI
2010
13 years 7 months ago
2010
Background: One of main aims of Molecular Biology is the gain of knowledge about how molecular components interact each other and to understand gene function regulations. Using mi...
LPNMR
2005
Springer
14 years 28 days ago
2005
Springer
We describe an application of Abductive Logic Programming (ALP) to the analysis of an important class of DNA microarray experiments. We develop an ALP theory that provides a simple...
BMCBI
2007
13 years 7 months ago
2007
Background: This work explores the quantitative characteristics of the local transcriptional regulatory network based on the availability of time dependent gene expression data se...
JBI
2002
13 years 7 months ago
2002
Discovering the complex regulatory networks that govern mRNA expression is an important but difficult problem. Many current approaches use only expression data from microarrays to...