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» Combining microarrays and genetic analysis
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BMCBI
2006
86views more  BMCBI 2006»
13 years 10 months ago
Identification of QTLs controlling gene expression networks defined a priori
Background: Gene expression microarrays allow the quantification of transcript accumulation for many or all genes in a genome. This technology has been utilized for a range of inv...
Daniel J. Kliebenstein, Marilyn A. L. West, Hans v...
BMCBI
2007
107views more  BMCBI 2007»
13 years 10 months ago
Linking microarray reporters with protein functions
Background: The analysis of microarray experiments requires accurate and up-to-date functional annotation of the microarray reporters to optimize the interpretation of the biologi...
Stan Gaj, Arie van Erk, Rachel I. M. van Haaften, ...
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
14 years 4 months ago
An analysis of constructive crossover and selection pressure in genetic programming
A common problem in genetic programming search algorithms is destructive crossover in which the offspring of good parents generally has worse performance than the parents. Design...
Huayang Xie, Mengjie Zhang, Peter Andreae
BMCBI
2008
160views more  BMCBI 2008»
13 years 10 months ago
Cross-species and cross-platform gene expression studies with the Bioconductor-compliant R package 'annotationTools'
Background: The variety of DNA microarray formats and datasets presently available offers an unprecedented opportunity to perform insightful comparisons of heterogeneous data. Cro...
Alexandre Kuhn, Ruth Luthi-Carter, Mauro Delorenzi
GECCO
2003
Springer
101views Optimization» more  GECCO 2003»
14 years 3 months ago
An Analysis of a Reordering Operator with Tournament Selection on a GA-Hard Problem
This paper analyzes the performance of a genetic algorithm that utilizes tournament selection, one-point crossover, and a reordering operator. A model is proposed to describe the c...
Ying-Ping Chen, David E. Goldberg