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BMCBI
2004
158views more  BMCBI 2004»
14 years 9 months ago
Incremental genetic K-means algorithm and its application in gene expression data analysis
Background: In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms suc...
Yi Lu, Shiyong Lu, Farshad Fotouhi, Youping Deng, ...
ESCIENCE
2007
IEEE
15 years 1 months ago
Grid-Enabling an Efficient Algorithm for Demanding Global Optimization Problems in Genetic Analysis
Abstract. We study the implementation on grid systems of an efficient algorithm for demanding global optimization problems. Specifically, we consider problems arising in the geneti...
Mahen Jayawardena, Sverker Holmgren
AAAI
1998
14 years 10 months ago
A Tractable Walsh Analysis of SAT and its Implications for Genetic Algorithms
Walsh Transforms measure all sources of nonlinear interactions for functions that have a bit representation. There can be exponentially many nonlinear interactions and exactly com...
Soraya B. Rana, Robert B. Heckendorn, L. Darrell W...
GECCO
2008
Springer
122views Optimization» more  GECCO 2008»
14 years 10 months ago
Optinformatics for schema analysis of binary genetic algorithms
Given the importance of optimization and informatics which are the two broad fields of research, we present an instance of Optinformatics which denotes the specialization of info...
Minh Nghia Le, Yew-Soon Ong, Quang Huy Nguyen 0001
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
14 years 11 months ago
Parsimonious regularization using genetic algorithms applied to the analysis of analytical ultracentrifugation experiments
Frequently in the physical sciences experimental data are analyzed to determine model parameters using techniques known as parameter estimation. Eliminating the effects of noise ...
Emre H. Brookes, Borries Demeler