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    SDM
    2008
    SIAM
    157views Data Mining» more  SDM 2008»
    ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data
    13 years 9 months ago
    ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data
    Download  siam.org
    Gene expression information from microarray experiments is a primary form of data for biological analysis and can offer insights into disease processes and cellular behaviour. Suc...
    M. Maruf Hossain, Md. Rafiul Hassan, James Bailey
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    ESWA
    2007
    151views more  ESWA 2007»
    A novel feature selection algorithm for text categorization
    13 years 7 months ago
    A novel feature selection algorithm for text categorization
    Download  www.nipissingu.ca
    With the development of the web, large numbers of documents are available on the Internet. Digital libraries, news sources and inner data of companies surge more and more. Automat...
    Wenqian Shang, Houkuan Huang, Haibin Zhu, Yongmin ...
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    ISBRA
    2007
    Springer
    142views Bioinformatics» more  ISBRA 2007»
    Noise-Based Feature Perturbation as a Selection Method for Microarray Data
    14 years 1 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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    CANDC
    2005
    ACM
    160views Emerging Technology» more  CANDC 2005»
    Gene selection from microarray data for cancer classification - a machine learning approach
    13 years 7 months ago
    Gene selection from microarray data for cancer classification - a machine learning approach
    Download  cbio.ensmp.fr
    A DNA microarray can track the expression levels of thousands of genes simultaneously. Previous research has demonstrated that this technology can be useful in the classification ...
    Yu Wang 0008, Igor V. Tetko, Mark A. Hall, Eibe Fr...
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    CIBCB
    2005
    IEEE
    157views Computational Biology» more  CIBCB 2005»
    Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization
    14 years 1 months ago
    Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization
    Download  www.cs.bham.ac.uk
    Feature selection is an important preprocessing technique for many pattern recognition problems. When the number of features is very large while the number of samples is relatively...
    E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
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