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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 7 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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    BMCBI
    2007
    176views more  BMCBI 2007»
    Genome Expression Pathway Analysis Tool - Analysis and visualization of microarray gene expression data under genomic, proteomic
    13 years 7 months ago
    Genome Expression Pathway Analysis Tool - Analysis and visualization of microarray gene expression data under genomic, proteomic
    Download  www.biomedcentral.com
    Background: Regulation of gene expression is relevant to many areas of biology and medicine, in the study of treatments, diseases, and developmental stages. Microarrays can be use...
    Markus Weniger, Julia C. Engelmann, Jörg Schu...
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    BMCBI
    2010
    224views more  BMCBI 2010»
    An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
    13 years 7 months ago
    An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
    Download  www.biomedcentral.com
    Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
    Susmita Datta, Vasyl Pihur, Somnath Datta
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    ACIIDS
    2010
    IEEE
    170views Database» more  ACIIDS 2010»
    On the Effectiveness of Gene Selection for Microarray Classification Methods
    13 years 5 months ago
    On the Effectiveness of Gene Selection for Microarray Classification Methods
    Download  eprints.usq.edu.au
    Microarray data usually contains a high level of noisy gene data, the noisy gene data include incorrect, noise and irrelevant genes. Before Microarray data classification takes pla...
    Zhongwei Zhang, Jiuyong Li, Hong Hu, Hong Zhou
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    IJON
    2006
    99views more  IJON 2006»
    Feature selection in independent component subspace for microarray data classification
    13 years 7 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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