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BMCBI
2005
122views more  BMCBI 2005»
13 years 7 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
2010
160views more  BMCBI 2010»
13 years 7 months ago
Quantitative model for inferring dynamic regulation of the tumour suppressor gene p53
Background: The availability of various "omics" datasets creates a prospect of performing the study of genomewide genetic regulatory networks. However, one of the major ...
Junbai Wang, Tianhai Tian
CGF
2008
142views more  CGF 2008»
13 years 7 months ago
Visualizing Genome Expression and Regulatory Network Dynamics in Genomic and Metabolic Context
DNA microarrays are used to measure the expression levels of thousands of genes simultaneously. In a time series experiment, the gene expressions are measured as a function of tim...
Michel A. Westenberg, Sacha A. F. T. van Hijum, Os...
BMCBI
2010
240views more  BMCBI 2010»
13 years 7 months ago
CircuitsDB: a database of mixed microRNA/transcription factor feed-forward regulatory circuits in human and mouse
Background: Transcription Factors (TFs) and microRNAs (miRNAs) are key players for gene expression regulation in higher eukaryotes. In the last years, a large amount of bioinforma...
Olivier Friard, Angela Re, Daniela Taverna, Michel...
GECCO
2006
Springer
220views Optimization» more  GECCO 2006»
13 years 11 months ago
Comparing evolutionary algorithms on the problem of network inference
In this paper, we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different evoluti...
Christian Spieth, Rene Worzischek, Felix Streicher...