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» Classification of microarray data using gene networks
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BIOINFORMATICS
2005
57views more  BIOINFORMATICS 2005»
14 years 11 months ago
Network constrained clustering for gene microarray data
Dongxiao Zhu, Alfred O. Hero, Hong Cheng, Ritu Kha...
BMCBI
2007
127views more  BMCBI 2007»
14 years 12 months ago
Characterization and simulation of cDNA microarray spots using a novel mathematical model
Background: The quality of cDNA microarray data is crucial for expanding its application to other research areas, such as the study of gene regulatory networks. Despite the fact t...
Hye Young Kim, Seo Eun Lee, Min Jung Kim, Jin Il H...
BMCBI
2006
128views more  BMCBI 2006»
14 years 12 months ago
An interactive tool for visualization of relationships between gene expression profiles
Background: Application of phenetic methods to gene expression analysis proved to be a successful approach. Visualizing the results in a 3-dimentional space may further enhance th...
Peter Ruzanov, Steven J. M. Jones
GECCO
2003
Springer
141views Optimization» more  GECCO 2003»
15 years 5 months ago
Finding the Optimal Gene Order in Displaying Microarray Data
The rapid advances of genome-scale sequencing have brought out the necessity of developing new data processing techniques for enormous genomic data. Microarrays, for example, can g...
Seung-Kyu Lee, Yong-Hyuk Kim, Byung Ro Moon
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 6 months ago
A multi-objective approach to discover biclusters in microarray data
The main motivation for using a multi–objective evolutionary algorithm for finding biclusters in gene expression data is motivated by the fact that when looking for biclusters ...
Federico Divina, Jesús S. Aguilar-Ruiz