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    BMCBI
    2010
    116views more  BMCBI 2010»
    FiGS: a filter-based gene selection workbench for microarray data
    13 years 8 months ago
    FiGS: a filter-based gene selection workbench for microarray data
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    Background: The selection of genes that discriminate disease classes from microarray data is widely used for the identification of diagnostic biomarkers. Although various gene sel...
    Taeho Hwang, Choong-Hyun Sun, Taegyun Yun, Gwan-Su...
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    BMCBI
    2007
    106views more  BMCBI 2007»
    In silico identification of NF-kappaB-regulated genes in pancreatic beta-cells
    13 years 8 months ago
    In silico identification of NF-kappaB-regulated genes in pancreatic beta-cells
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    Background: Pancreatic beta-cells are the target of an autoimmune attack in type 1 diabetes mellitus (T1DM). This is mediated in part by cytokines, such as interleukin (IL)-1β an...
    Najib Naamane, Jacques van Helden, Decio L. Eiziri...
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    BMCBI
    2007
    173views more  BMCBI 2007»
    Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
    13 years 8 months ago
    Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
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    Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
    Malik Yousef, Segun Jung, Louise C. Showe, Michael...
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    INFOCOM
    2010
    IEEE
    200views Communications» more  INFOCOM 2010»
    Pricing under Constraints in Access Networks: Revenue Maximization and Congestion Management
    13 years 7 months ago
    Pricing under Constraints in Access Networks: Revenue Maximization and Congestion Management
    Download  scenic.princeton.edu
    Abstract—This paper investigates pricing of Internet connectivity services in the context of a monopoly ISP selling broadband access to consumers. We first study the optimal com...
    Prashanth Hande, Mung Chiang, A. Robert Calderbank...
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    ICMLA
    2009
    143views Machine Learning» more  ICMLA 2009»
    Learning Geographic Regions using Location Based Services in Next Generation Networks
    13 years 6 months ago
    Learning Geographic Regions using Location Based Services in Next Generation Networks
    Download  www.ruhr-uni-bochum.de
    Abstract--In this paper we apply classification to learn geographic regions using Location Based Services (LBS) in Next Generation Networks (NGN). We assume that the information in...
    Yuheng He, Attila Bilgic
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