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» Combining microarrays and genetic analysis
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EUROGP
2004
Springer
133views Optimization» more  EUROGP 2004»
14 years 3 months ago
Lymphoma Cancer Classification Using Genetic Programming with SNR Features
Lymphoma cancer classification with DNA microarray data is one of important problems in bioinformatics. Many machine learning techniques have been applied to the problem and produc...
Jin-Hyuk Hong, Sung-Bae Cho
BMCBI
2008
109views more  BMCBI 2008»
13 years 10 months ago
Merging microsatellite data: enhanced methodology and software to combine genotype data for linkage and association analysis
Background: Correctly merged data sets that have been independently genotyped can increase statistical power in linkage and association studies. However, alleles from microsatelli...
Angela P. Presson, Eric M. Sobel, Paivi Pajukanta,...
BMCBI
2007
173views more  BMCBI 2007»
13 years 10 months ago
Ringo - an R/Bioconductor package for analyzing ChIP-chip readouts
Background: Chromatin immunoprecipitation combined with DNA microarrays (ChIP-chip) is a high-throughput assay for DNA-protein-binding or post-translational chromatin/histone modi...
Joern Toedling, Oleg Sklyar, Tammo Krueger, Jenny ...
BMCBI
2006
119views more  BMCBI 2006»
13 years 10 months ago
Evaluation of microarray data normalization procedures using spike-in experiments
Background: Recently, a large number of methods for the analysis of microarray data have been proposed but there are few comparisons of their relative performances. By using so-ca...
Patrik Rydén, Henrik Andersson, Mattias Lan...
CEC
2007
IEEE
13 years 11 months ago
Random search can outperform mutation
— Efficient discovery of lowest level building blocks is a fundamental requirement for a successful genetic algorithm. Although considerable effort has been directed at techniqu...
Cameron Skinner, Patricia J. Riddle