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    BMEI
    2008
    IEEE
    222views Biomedical Imaging» more  BMEI 2008»
    Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps
    13 years 9 months ago
    Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps
    Download  math.georgiasouthern.edu
    The importance of gene expression data in cancer diagnosis and treatment by now has been widely recognized by cancer researchers in recent years. However, one of the major challen...
    Rui Xu, Steven Damelin, Boaz Nadler, Donald C. Wun...
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    BMCBI
    2010
    158views more  BMCBI 2010»
    A Bayesian network approach to feature selection in mass spectrometry data
    13 years 7 months ago
    A Bayesian network approach to feature selection in mass spectrometry data
    Download  www.biomedcentral.com
    Background: Time-of-flight mass spectrometry (TOF-MS) has the potential to provide non-invasive, high-throughput screening for cancers and other serious diseases via detection of ...
    Karl W. Kuschner, Dariya I. Malyarenko, William E....
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    WSDM
    2009
    ACM
    172views Data Mining» more  WSDM 2009»
    Clustering the tagged web
    14 years 2 months ago
    Clustering the tagged web
    Download  www.stanford.edu
    Automatically clustering web pages into semantic groups promises improved search and browsing on the web. In this paper, we demonstrate how user-generated tags from largescale soc...
    Daniel Ramage, Paul Heymann, Christopher D. Mannin...
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    NAACL
    2004
    113views Computational Linguistics» more  NAACL 2004»
    A Statistical Model for Multilingual Entity Detection and Tracking
    13 years 9 months ago
    A Statistical Model for Multilingual Entity Detection and Tracking
    Download  acl.ldc.upenn.edu
    Entity detection and tracking is a relatively new addition to the repertoire of natural language tasks. In this paper, we present a statistical language-independent framework for ...
    Radu Florian, Hany Hassan, Abraham Ittycheriah, Ho...
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    APBC
    2004
    132views Bioinformatics» more  APBC 2004»
    A Novel Feature Selection Method to Improve Classification of Gene Expression Data
    13 years 9 months ago
    A Novel Feature Selection Method to Improve Classification of Gene Expression Data
    Download  crpit.com
    This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
    Liang Goh, Qun Song, Nikola K. Kasabov
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