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TCBB
2011
11 years 3 months ago
Learning Genetic Regulatory Network Connectivity from Time Series Data
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...
Nathan A. Barker, Chris J. Myers, Hiroyuki Kuwahar...
BMCBI
2005
122views more  BMCBI 2005»
11 years 8 months ago
A microarray data-based semi-kinetic method for predicting quantitative dynamics of genetic networks
Background: Elucidating the dynamic behaviour of genetic regulatory networks is one of the most significant challenges in systems biology. However, conventional quantitative predi...
Katsuyuki Yugi, Yoichi Nakayama, Shigen Kojima, To...
BMCBI
2008
130views more  BMCBI 2008»
11 years 8 months ago
Function approximation approach to the inference of reduced NGnet models of genetic networks
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...
Shuhei Kimura, Katsuki Sonoda, Soichiro Yamane, Hi...
BMCBI
2010
133views more  BMCBI 2010»
11 years 8 months ago
New components of the Dictyostelium PKA pathway revealed by Bayesian analysis of expression data
Background: Identifying candidate genes in genetic networks is important for understanding regulation and biological function. Large gene expression datasets contain relevant info...
Anup Parikh, Eryong Huang, Christopher Dinh, Blaz ...
BIOCOMP
2007
11 years 9 months ago
Stability Analysis of Genetic Regulatory Network with Additive Noises
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...
Yufang Jin
EUROGP
2006
Springer
140views Optimization» more  EUROGP 2006»
11 years 12 months ago
Evolving Noisy Oscillatory Dynamics in Genetic Regulatory Networks
We introduce a genetic programming (GP) approach for evolving genetic networks that demonstrate desired dynamics when simulated as a discrete stochastic process. Our representation...
André Leier, P. Dwight Kuo, Wolfgang Banzha...
IDA
2005
Springer
12 years 1 months ago
Bayesian Networks Learning for Gene Expression Datasets
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 ...
Giacomo Gamberoni, Evelina Lamma, Fabrizio Riguzzi...
ICCS
2005
Springer
12 years 1 months ago
Modelling Dynamics of Genetic Networks as a Multiscale Process
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...
Xilin Wei, Roderick V. N. Melnik, Gabriel Moreno-H...
EVOW
2007
Springer
12 years 2 months ago
Modeling Genetic Networks: Comparison of Static and Dynamic Models
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...
Cristina Rubio-Escudero, Oscar Harari, Oscar Cord&...
AB
2008
Springer
12 years 2 months ago
Algorithms for Inference, Analysis and Control of Boolean Networks
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...
Tatsuya Akutsu, Morihiro Hayashida, Takeyuki Tamur...
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