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» Evolutionary computation for biclustering of gene expression
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EVOW
2005
Springer
13 years 11 months ago
Order Preserving Clustering over Multiple Time Course Experiments
Abstract. Clustering still represents the most commonly used technique to analyze gene expression data—be it classical clustering approaches that aim at finding biologically rel...
Stefan Bleuler, Eckart Zitzler
CIBCB
2005
IEEE
13 years 8 months ago
A Transcriptional Approach to Gene Clustering
— We present an integrative method for clustering coregulated genes and elucidating their underlying regulatory mechanisms. We use multi-state partition functions and thermodynam...
Ilias Tagkopoulos
EVOW
2008
Springer
13 years 7 months ago
Analogue Circuit Control through Gene Expression
Abstract. Software configurable analogue arrays offer an intriguing platform for automated design by evolutionary algorithms. Like previous evolvable hardware experiments, these pl...
Kester Clegg, Susan Stepney
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
14 years 4 days ago
Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
Alper Küçükural, Reyyan Yeniterzi...
BMCBI
2011
13 years 1 months ago
A novel approach to the clustering of microarray data via nonparametric density estimation
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
Riccardo De Bin, Davide Risso