145 search results - page 18 / 29 » Stochastic models for inferring genetic regulation from micr... |
BMCBI
2010
13 years 8 months ago
2010
Background: Novel strategies are required in order to handle the huge amount of data produced by microarray technologies. To infer gene regulatory networks, the first step is to f...
ALIFE
2008
13 years 8 months ago
2008
The development of structure-learning algorithms for gene regulatory networks depends heavily on the availability of synthetic data sets that contain both the original network and ...
RECOMB
2001
Springer
14 years 9 months ago
2001
Springer
The recent growth in genomic data and measurements of genome-wide expression patterns allows us to apply computational tools to examine gene regulation by transcription factors. I...
BMCBI
2006
13 years 8 months ago
2006
Background: Microarray studies provide a way of linking variations of phenotypes with their genetic causations. Constructing predictive models using high dimensional microarray me...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
In this work we present an improved evolutionary method for inferring S-system model of genetic networks from the time series data of gene expression. We employed Differential Ev...