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    » Identifying Binding Sites in Sequential Genomic Data
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    BMCBI
    2008
    135views more  BMCBI 2008»
    Identification of a small optimal subset of CpG sites as bio-markers from high-throughput DNA methylation profiles
    13 years 8 months ago
    Identification of a small optimal subset of CpG sites as bio-markers from high-throughput DNA methylation profiles
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    Background: DNA methylation patterns have been shown to significantly correlate with different tissue types and disease states. High-throughput methylation arrays enable large-sca...
    Hailong Meng, Edward Lenn Murrelle, Guoya Li
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    ALMOB
    2006
    138views more  ALMOB 2006»
    A combinatorial optimization approach for diverse motif finding applications
    13 years 8 months ago
    A combinatorial optimization approach for diverse motif finding applications
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    Background: Discovering approximately repeated patterns, or motifs, in biological sequences is an important and widely-studied problem in computational molecular biology. Most fre...
    Elena Zaslavsky, Mona Singh
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    WWW
    2008
    ACM
    133views Internet Technology» more  WWW 2008»
    Web user de-identification in personalization
    14 years 9 months ago
    Web user de-identification in personalization
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    It is a kind of privacy infraction in personalized web service if the user profile submitted to one web site transferred to another site without user permission. That can cause th...
    Jiaqian Zheng, Jing Yao, Junyu Niu
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    NAR
    2007
    135views more  NAR 2007»
    g: Profiler - a web-based toolset for functional profiling of gene lists from large-scale experiments
    13 years 8 months ago
    g: Profiler - a web-based toolset for functional profiling of gene lists from large-scale experiments
    Download  emu.at.mt.ut.ee
    g:Profiler (http://biit.cs.ut.ee/gprofiler/) is a public web server for characterising and manipulating gene lists resulting from mining high-throughput genomic data. g:Profiler h...
    Jüri Reimand, Meelis Kull, Hedi Peterson, Jaa...
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    BMCBI
    2006
    121views more  BMCBI 2006»
    Splice site identification using probabilistic parameters and SVM classification
    13 years 8 months ago
    Splice site identification using probabilistic parameters and SVM classification
    Download  www.biomedcentral.com
    Background: Recent advances and automation in DNA sequencing technology has created a vast amount of DNA sequence data. This increasing growth of sequence data demands better and ...
    A. K. M. A. Baten, Bill C. H. Chang, Saman K. Halg...
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