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GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
14 years 2 months ago
Extraction of informative genes from microarray data
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
Topon Kumar Paul, Hitoshi Iba
ATS
2001
IEEE
126views Hardware» more  ATS 2001»
14 years 9 days ago
Design of an Optimal Test Access Architecture Using a Genetic Algorithm
Test access is a major problem for core-based systemon-chip (SOC) designs. Since cores in an SOC are not directly accessible via chip inputs and outputs, special access mechanisms...
Zahra Sadat Ebadi, André Ivanov
GECCO
2009
Springer
134views Optimization» more  GECCO 2009»
14 years 1 months ago
Estimating the distribution and propagation of genetic programming building blocks through tree compression
Shin et al [19] and McKay et al [15] previously applied tree compression and semantics-based simplification to study the distribution of building blocks in evolving Genetic Progr...
Robert I. McKay, Xuan Hoai Nguyen, James R. Cheney...
BMCBI
2008
110views more  BMCBI 2008»
13 years 8 months ago
Methylation Linear Discriminant Analysis (MLDA) for identifying differentially methylated CpG islands
Background: Hypermethylation of promoter CpG islands is strongly correlated to transcriptional gene silencing and epigenetic maintenance of the silenced state. As well as its role...
Wei Dai, Jens M. Teodoridis, Janet Graham, Constan...
GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
14 years 2 months ago
Not all linear functions are equally difficult for the compact genetic algorithm
Estimation of distribution algorithms (EDAs) try to solve an optimization problem by finding a probability distribution focussed around its optima. For this purpose they conduct ...
Stefan Droste