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GECCO
2005
Springer
180views Optimization» more  GECCO 2005»
15 years 5 months ago
Inference of gene regulatory networks using s-system and differential evolution
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...
Nasimul Noman, Hitoshi Iba
BMCBI
2008
86views more  BMCBI 2008»
14 years 12 months ago
Piecewise multivariate modelling of sequential metabolic profiling data
Background: Modelling the time-related behaviour of biological systems is essential for understanding their dynamic responses to perturbations. In metabolic profiling studies, the...
Mattias Rantalainen, Olivier Cloarec, Timothy M. D...
AMC
2005
191views more  AMC 2005»
14 years 11 months ago
Model identification of ARIMA family using genetic algorithms
ARIMA is a popular method to analyze stationary univariate time series data. There are usually three main stages to build an ARIMA model, including model identification, model est...
Chorng-Shyong Ong, Jih-Jeng Huang, Gwo-Hshiung Tze...
WSC
2007
15 years 2 months ago
Statistical analysis of simulation output: state of the art
This paper reviews statistical methods for analyzing output data from computer simulations. Specifically, it focuses on the estimation of steady-state system parameters. The esti...
Christos Alexopoulos
IMC
2010
ACM
14 years 9 months ago
Temporally oblivious anomaly detection on large networks using functional peers
Previous methods of network anomaly detection have focused on defining a temporal model of what is "normal," and flagging the "abnormal" activity that does not...
Kevin M. Carter, Richard Lippmann, Stephen W. Boye...