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» Memetic Algorithms for Feature Selection on Microarray Data
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ICPR
2006
IEEE
14 years 1 months ago
Note on Feature Selection for Polyp Detection in CT Colonography
In this paper we describe a computer aided detection (CAD) algorithm for robust detection of polyps in computed tomography (CT) colonography. The devised algorithm identifies sus...
Tarik A. Chowdhury, Ovidiu Ghita, Paul F. Whelan, ...
BMCBI
2006
108views more  BMCBI 2006»
13 years 7 months ago
Probe set algorithms: is there a rational best bet?
Affymetrix microarrays have become a standard experimental platform for studies of mRNA expression profiling. Their success is due, in part, to the multiple oligonucleotide featur...
Jinwook Seo, Eric P. Hoffman
SCIA
2007
Springer
122views Image Analysis» more  SCIA 2007»
14 years 1 months ago
Individual Discriminative Face Recognition Models Based on Subsets of Features
Abstract. The accuracy of data classification methods depends considerably on the data representation and on the selected features. In this work, the elastic net model selection i...
Line Harder Clemmensen, David Delgado Gomez, Bjarn...
NAR
2011
188views Computer Vision» more  NAR 2011»
12 years 10 months ago
The Gene Expression Barcode: leveraging public data repositories to begin cataloging the human and murine transcriptomes
Various databases have harnessed the wealth of publicly available microarray data to address biological questions ranging from across-tissue differential expression to homologous ...
Matthew N. McCall, Karan Uppal, Harris A. Jaffee, ...
ICPR
2006
IEEE
14 years 8 months ago
Finding Rule Groups to Classify High Dimensional Gene Expression Datasets
Microarray data provides quantitative information about the transcription profile of cells. To analyze microarray datasets, methodology of machine learning has increasingly attrac...
Jiyuan An, Yi-Ping Phoebe Chen