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    SDM
    2009
    SIAM
    192views Data Mining» more  SDM 2009»
    Mining Cohesive Patterns from Graphs with Feature Vectors.
    14 years 7 months ago
    Mining Cohesive Patterns from Graphs with Feature Vectors.
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    The increasing availability of network data is creating a great potential for knowledge discovery from graph data. In many applications, feature vectors are given in addition to g...
    Arash Rafiey, Flavia Moser, Martin Ester, Recep Co...
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    BMCBI
    2006
    216views more  BMCBI 2006»
    Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
    13 years 10 months ago
    Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
    Download  www.biomedcentral.com
    Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...
    Haiying Wang, Huiru Zheng, David Simpson, Francisc...
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    BMCBI
    2010
    106views more  BMCBI 2010»
    A novel approach for haplotype-based association analysis using family data
    13 years 10 months ago
    A novel approach for haplotype-based association analysis using family data
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    Background: Haplotype-based approaches have been extensively studied for case-control association mapping in recent years. It has been shown that haplotype methods can provide mor...
    Yixuan Chen, Xin Li, Jing Li
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    BMCBI
    2004
    208views more  BMCBI 2004»
    Hybrid clustering for microarray image analysis combining intensity and shape features
    13 years 10 months ago
    Hybrid clustering for microarray image analysis combining intensity and shape features
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    Background: Image analysis is the first crucial step to obtain reliable results from microarray experiments. First, areas in the image belonging to single spots have to be identif...
    Jörg Rahnenführer, Daniel Bozinov
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    VLDB
    2007
    ACM
    119views Database» more  VLDB 2007»
    Dynamic Workload Management for Very Large Data Warehouses: Juggling Feathers and Bowling Balls
    14 years 10 months ago
    Dynamic Workload Management for Very Large Data Warehouses: Juggling Feathers and Bowling Balls
    Download  www.vldb.org
    Workload management for business intelligence (BI) queries poses different challenges than those addressed in the online transaction processing (OLTP) context. The fundamental pro...
    Stefan Krompass, Umeshwar Dayal, Harumi A. Kuno, A...
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