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» Genetic Algorithms for Component Analysis
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132
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BMCBI
2010
89views more  BMCBI 2010»
15 years 3 months ago
Spatial normalization improves the quality of genotype calling for Affymetrix SNP 6.0 arrays
Background: Microarray measurements are susceptible to a variety of experimental artifacts, some of which give rise to systematic biases that are spatially dependent in a unique w...
High-Seng Chai, Terry M. Therneau, Kent R. Bailey,...
NAR
2008
85views more  NAR 2008»
15 years 3 months ago
Panzea: an update on new content and features
Panzea (http://www.panzea.org), the public web site of the project `Molecular and Functional Diversity in the Maize Genome', has expanded over the past two years in data cont...
Payan Canaran, Edward S. Buckler, Jeffrey Glaubitz...
114
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CCE
2005
15 years 3 months ago
Selecting maximally informative genes
Microarray experiments are emerging as one of the main driving forces in modern biology. By allowing the simultaneous monitoring of the expression of the entire genome for a given...
Ioannis P. Androulakis
152
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EUROGP
2009
Springer
105views Optimization» more  EUROGP 2009»
15 years 8 months ago
Quantum Circuit Synthesis with Adaptive Parameters Control
The contribution presented herein proposes an adaptive genetic algorithm applied to quantum logic circuit synthesis that, dynamically adjusts its control parameters. The adaptation...
Cristian Ruican, Mihai Udrescu, Lucian Prodan, Mir...
109
Voted
ISNN
2005
Springer
15 years 9 months ago
An Improvement on PCA Algorithm for Face Recognition
Principle Component Analysis (PCA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
Vo Dinh Minh Nhat, Sungyoung Lee