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    CIBCB
    2005
    IEEE
    131views Computational Biology» more  CIBCB 2005»
    Two-Phase EA/k-NN for Feature Selection and Classification in Cancer Microarray Datasets
    14 years 1 months ago
    Two-Phase EA/k-NN for Feature Selection and Classification in Cancer Microarray Datasets
    Download  www.macs.hw.ac.uk
    Efficient and reliable methods that can find a small sample of informative genes amongst thousands are of great importance. In this area, much research is investigating the combina...
    Thorhildur Juliusdottir, David Corne, Ed Keedwell,...
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    BMCBI
    2005
    118views more  BMCBI 2005»
    Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes
    13 years 7 months ago
    Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes
    Download  www.biomedcentral.com
    Background: In the clinical context, samples assayed by microarray are often classified by cell line or tumour type and it is of interest to discover a set of genes that can be us...
    Thanyaluk Jirapech-Umpai, J. Stuart Aitken
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    ICASSP
    2009
    IEEE
    214views Signal Processing» more  ICASSP 2009»
    Microarray classification using block diagonal linear discriminant analysis with embedded feature selection
    14 years 2 months ago
    Microarray classification using block diagonal linear discriminant analysis with embedded feature selection
    Download  sipi.usc.edu
    In this paper, block diagonal linear discriminant analysis (BDLDA) is improved and applied to gene expression data. BDLDA is a classification tool with embedded feature selection...
    Lingyan Sheng, Roger Pique-Regi, Shahab Asgharzade...
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    BMCBI
    2010
    132views more  BMCBI 2010»
    Error margin analysis for feature gene extraction
    13 years 8 months ago
    Error margin analysis for feature gene extraction
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    Background: Feature gene extraction is a fundamental issue in microarray-based biomarker discovery. It is normally treated as an optimization problem of finding the best predictiv...
    Chi Kin Chow, Hai Long Zhu, Jessica Lacy, Winston ...
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    BMCBI
    2006
    85views more  BMCBI 2006»
    Recursive SVM feature selection and sample classification for mass-spectrometry and microarray data
    13 years 8 months ago
    Recursive SVM feature selection and sample classification for mass-spectrometry and microarray data
    Download  www.biomedcentral.com
    Xuegong Zhang, Xin Lu, Qian Shi, Xiu-qin Xu, Hon-c...
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