145 search results - page 5 / 29 » Stochastic models for inferring genetic regulation from micr... |
BIBM
2008
IEEE
14 years 1 months ago
2008
IEEE
Using microarray technology for genetic analysis in biological experiments requires computationally intensive tools to interpret results. The main objective here is to develop a ā...
ECCB
2003
IEEE
14 years 22 days ago
2003
IEEE
This article deals with the identiļ¬cation of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactio...
ACSC
2009
IEEE
14 years 2 months ago
2009
IEEE
In this paper we aim to infer a model of genetic networks from time series data of gene expression profiles by using a new gene expression programming algorithm. Gene expression n...
BMCBI
2008
13 years 7 months ago
2008
Background: The reconstruction of genetic regulatory networks from microarray gene expression data has been a challenging task in bioinformatics. Various approaches to this proble...
BMCBI
2007
13 years 7 months ago
2007
Background: In many approaches to the inference and modeling of regulatory interactions using microarray data, the expression of the gene coding for the transcription factor is co...