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    ISBRA
    2007
    Springer
    142views Bioinformatics» more  ISBRA 2007»
    Noise-Based Feature Perturbation as a Selection Method for Microarray Data
    13 years 10 months ago
    Noise-Based Feature Perturbation as a Selection Method for Microarray Data
    Download  www.csee.usf.edu
    Abstract. DNA microarrays can monitor the expression levels of thousands of genes simultaneously, providing the opportunity for the identification of genes that are differentiall...
    Li Chen, Dmitry B. Goldgof, Lawrence O. Hall, Stev...
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    IJON
    2006
    99views more  IJON 2006»
    Feature selection in independent component subspace for microarray data classification
    13 years 4 months ago
    Feature selection in independent component subspace for microarray data classification
    Download  www.intelengine.cn
    A novel method for microarray data classification is proposed in this letter. In this scheme, the sequential floating forward selection (SFFS) technique is used to select the inde...
    Chun-Hou Zheng, De-Shuang Huang, Li Shang
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    AUSAI
    2007
    Springer
    176views Artificial Intelligence» more  AUSAI 2007»
    Building Classification Models from Microarray Data with Tree-Based Classification Algorithms
    13 years 8 months ago
    Building Classification Models from Microarray Data with Tree-Based Classification Algorithms
    Download  www.csse.monash.edu.au
    Building classification models plays an important role in DNA mircroarray data analyses. An essential feature of DNA microarray data sets is that the number of input variables (gen...
    Peter J. Tan, David L. Dowe, Trevor I. Dix
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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 4 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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    BMCBI
    2004
    205views more  BMCBI 2004»
    A combinational feature selection and ensemble neural network method for classification of gene expression data
    13 years 4 months ago
    A combinational feature selection and ensemble neural network method for classification of gene expression data
    Download  www.biomedcentral.com
    Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
    Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
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