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» Gene Level Concurrency in Genetic Algorithms
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CBMS
2005
IEEE
13 years 8 months ago
Biclustering of Expression Data Using Simulated Annealing
In gene expression data a bicluster is a subset of genes and a subset of conditions which show correlating levels of expression. However, the problem of finding significant biclu...
Kenneth Bryan, Padraig Cunningham, Nadia Bolshakov...
BMCBI
2005
100views more  BMCBI 2005»
13 years 6 months ago
Speeding disease gene discovery by sequence based candidate prioritization
Background: Regions of interest identified through genetic linkage studies regularly exceed 30 centimorgans in size and can contain hundreds of genes. Traditionally this number is...
Euan A. Adie, Richard R. Adams, Kathryn L. Evans, ...
GECCO
2004
Springer
164views Optimization» more  GECCO 2004»
14 years 7 days ago
Fuzzy Dominance Based Multi-objective GA-Simplex Hybrid Algorithms Applied to Gene Network Models
Hybrid algorithms that combine genetic algorithms with the Nelder-Mead simplex algorithm have been effective in solving certain optimization problems. In this article, we apply a s...
Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...
BMCBI
2010
132views more  BMCBI 2010»
13 years 7 months ago
Consistency, comprehensiveness, and compatibility of pathway databases
Background: It is necessary to analyze microarray experiments together with biological information to make better biological inferences. We investigate the adequacy of current bio...
Donny Soh, Difeng Dong, Yike Guo, Limsoon Wong
BMCBI
2005
112views more  BMCBI 2005»
13 years 6 months ago
Vector analysis as a fast and easy method to compare gene expression responses between different experimental backgrounds
Background: Gene expression studies increasingly compare expression responses between different experimental backgrounds (genetic, physiological, or phylogenetic). By focusing on ...
Rainer Breitling, Patrick Armengaud, Anna Amtmann