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» Redundancy based feature selection for microarray data
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CSB
2003
IEEE
15 years 2 months ago
Fast and Accurate Probe Selection Algorithm for Large Genomes
The oligo microarray (DNA chip) technology in recent years has a significant impact on genomic study. Many fields such as gene discovery, drug discovery, toxicological research ...
Wing-Kin Sung, Wah-Heng Lee
BMCBI
2004
120views more  BMCBI 2004»
14 years 9 months ago
Optimal cDNA microarray design using expressed sequence tags for organisms with limited genomic information
Background: Expression microarrays are increasingly used to characterize environmental responses and hostparasite interactions for many different organisms. Probe selection for cD...
Yian A. Chen, David J. Mckillen, Shuyuan Wu, Matth...
BMCBI
2007
112views more  BMCBI 2007»
14 years 9 months ago
Selecting dissimilar genes for multi-class classification, an application in cancer subtyping
Background: Gene expression microarray is a powerful technology for genetic profiling diseases and their associated treatments. Such a process involves a key step of biomarker ide...
Zhipeng Cai, Randy Goebel, Mohammad R. Salavatipou...
ICPR
2008
IEEE
15 years 4 months ago
Redundant DWT based translation invariant wavelet feature extraction for face recognition
Discrete Wavelet Transform (DWT) is sensitive to the translation/shift of input signals, so its effectiveness could be negatively impacted when we encounter translation among sign...
Deqiang Li, Haibo Luo, Zelin Shi
91
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GECCO
2008
Springer
232views Optimization» more  GECCO 2008»
14 years 10 months ago
An efficient SVM-GA feature selection model for large healthcare databases
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
Rick Chow, Wei Zhong, Michael Blackmon, Richard St...