TCBB
2011
12 years 11 months ago
2011
Recent experimental advances facilitate the collection of time series data that indicate which genes in a cell are expressed. This paper proposes an efficient method to generate th...
BMCBI
2005
2005
A microarray data-based semi-kinetic method for predicting quantitative dynamics of genetic networks
13 years 4 months ago
Background: Elucidating the dynamic behaviour of genetic regulatory networks is one of the most significant challenges in systems biology. However, conventional quantitative predi...
BMCBI
2008
13 years 4 months ago
2008
Background: The inference of a genetic network is a problem in which mutual interactions among genes are deduced using time-series of gene expression patterns. While a number of m...
BMCBI
2010
13 years 4 months ago
2010
Background: Identifying candidate genes in genetic networks is important for understanding regulation and biological function. Large gene expression datasets contain relevant info...
BIOCOMP
2007
13 years 5 months ago
2007
Background: Genetic regulatory networks (GRN) can be described by differential equations with SUM logic which has been found in many natural systems. Identification of the network...
EUROGP
2006
Springer
13 years 8 months ago
2006
Springer
We introduce a genetic programming (GP) approach for evolving genetic networks that demonstrate desired dynamics when simulated as a discrete stochastic process. Our representation...
IDA
2005
Springer
13 years 9 months ago
2005
Springer
DNA arrays yield a global view of gene expression and can be used to build genetic networks models, in order to study relations between genes. Literature proposes Bayesian network ...
ICCS
2005
Springer
13 years 9 months ago
2005
Springer
A key phenomenon in the dynamics of genetic networks is the cell cycle. In the study of this phenomenon, an important task is to understand how many processes, acting on different...
EVOW
2007
Springer
13 years 10 months ago
2007
Springer
Biomedical research has been revolutionized by high-throughput techniques and the enormous amount of biological data they are able to generate. The interest shown over network mode...
AB
2008
Springer
13 years 10 months ago
2008
Springer
Boolean networks (BNs) are known as a mathematical model of genetic networks. In this paper, we overview algorithmic aspects of inference, analysis and control of BNs while focusin...