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ICDE
2004
IEEE
133views Database» more  ICDE 2004»
14 years 6 months ago
GenExplore: Interactive Exploration of Gene Interactions from Microarray Data
DNA Microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that sho...
Yong Ye, Xintao Wu, Kalpathi R. Subramanian, Liyin...
BIBM
2008
IEEE
145views Bioinformatics» more  BIBM 2008»
13 years 11 months ago
Meta Analysis of Microarray Data Using Gene Regulation Pathways
Using microarray technology for genetic analysis in biological experiments requires computationally intensive tools to interpret results. The main objective here is to develop a ...
Saira Ali Kazmi, Yoo-Ah Kim, Baikang Pei, Ravi Nor...
IPPS
2003
IEEE
13 years 10 months ago
Accurate Method for Fast Design of Diagnostic Oligonucleotide Probe Sets for DNA Microarrays
We present a method for the automatic generation of oligonucleotide probe sets for DNA microarrays. This approach is well suited particularly for specificity evaluation of design...
Andreas Krause, Markus Kräutner, Harald Meier
PKDD
2009
Springer
148views Data Mining» more  PKDD 2009»
13 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
KDD
2004
ACM
302views Data Mining» more  KDD 2004»
14 years 5 months ago
Redundancy based feature selection for microarray data
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
Lei Yu, Huan Liu