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    » Sequential Classification for Microarray and Clinical Data
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    CSB
    2005
    IEEE
    133views Bioinformatics» more  CSB 2005»
    Sequential Classification for Microarray and Clinical Data
    14 years 4 months ago
    Sequential Classification for Microarray and Clinical Data
    Download  conferences.computer.org
    Sequential classification uses in a stepwise process only part of the data (evidence) for partial classification, i.e., classifying only objects with sufficient evidence and leavi...
    Günter Tusch
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    IJON
    2006
    99views more  IJON 2006»
    Feature selection in independent component subspace for microarray data classification
    13 years 11 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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    BMCBI
    2006
    158views more  BMCBI 2006»
    Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data
    13 years 11 months ago
    Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data
    Download  www.biomedcentral.com
    Background: Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of data classification problems. Since the p...
    Chaoyang Zhang, Peng Li, Arun Rajendran, Youping D...
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    FUIN
    2002
    123views more  FUIN 2002»
    Learning Rough Set Classifiers from Gene Expressions and Clinical Data
    13 years 10 months ago
    Learning Rough Set Classifiers from Gene Expressions and Clinical Data
    Download  www.lcb.uu.se
    Biological research is currently undergoing a revolution. With the advent of microarray technology the behavior of thousands of genes can be measured simultaneously. This capabilit...
    Herman Midelfart, Henryk Jan Komorowski, Kristin N...
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    BMCBI
    2006
    173views more  BMCBI 2006»
    Kernel-based distance metric learning for microarray data classification
    13 years 11 months ago
    Kernel-based distance metric learning for microarray data classification
    Download  www.biomedcentral.com
    Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
    Huilin Xiong, Xue-wen Chen
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