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» Unfolding of Microarray Data
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PKDD
2009
Springer
148views Data Mining» more  PKDD 2009»
15 years 11 months ago
Feature Selection by Transfer Learning with Linear Regularized Models
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
Thibault Helleputte, Pierre Dupont
BIBE
2007
IEEE
115views Bioinformatics» more  BIBE 2007»
15 years 11 months ago
Semiparametric RMA Background-Correction for Oligonucleotide Arrays
—Microarray technology has provided an opportunity to simultaneously monitor the expression levels of a large number of genes in response to intentional perturbations. A necessar...
Ionut Bebu, Françoise Seillier-Moiseiwitsch...
BIBE
2007
IEEE
124views Bioinformatics» more  BIBE 2007»
15 years 11 months ago
Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...
Chan-Hoon Park, Soo-Jin Kim, Sun Kim, Dong-Yeon Ch...
ACAL
2007
Springer
15 years 11 months ago
An Integrated QAP-Based Approach to Visualize Patterns of Gene Expression Similarity
Abstract. This paper illustrates how the Quadratic Assignment Problem (QAP) is used as a mathematical model that helps to produce a visualization of microarray data, based on the r...
Mario Inostroza-Ponta, Alexandre Mendes, Regina Be...
BMCBI
2006
146views more  BMCBI 2006»
15 years 5 months ago
Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE
Background: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease...
Satoshi Niijima, Satoru Kuhara