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    BMCBI
    2005
    189views more  BMCBI 2005»
    Quantitative inference of dynamic regulatory pathways via microarray data
    13 years 10 months ago
    Quantitative inference of dynamic regulatory pathways via microarray data
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    Background: The cellular signaling pathway (network) is one of the main topics of organismic investigations. The intracellular interactions between genes in a signaling pathway ar...
    Wen-Chieh Chang, Chang-Wei Li, Bor-Sen Chen
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    IPPS
    2007
    IEEE
    118views Distributed And Parallel Com...» more  IPPS 2007»
    Optimizing Sorting with Machine Learning Algorithms
    14 years 4 months ago
    Optimizing Sorting with Machine Learning Algorithms
    Download  www.cecs.uci.edu
    The growing complexity of modern processors has made the development of highly efficient code increasingly difficult. Manually developing highly efficient code is usually expen...
    Xiaoming Li, María Jesús Garzar&aacu...
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    BMCBI
    2006
    113views more  BMCBI 2006»
    QualitySNP: a pipeline for detecting single nucleotide polymorphisms and insertions/deletions in EST data from diploid and polyp
    13 years 10 months ago
    QualitySNP: a pipeline for detecting single nucleotide polymorphisms and insertions/deletions in EST data from diploid and polyp
    Download  www.biomedcentral.com
    Background: Single nucleotide polymorphisms (SNPs) are important tools in studying complex genetic traits and genome evolution. Computational strategies for SNP discovery make use...
    Jifeng Tang, Ben Vosman, Roeland E. Voorrips, C. G...
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    KDD
    2008
    ACM
    193views Data Mining» more  KDD 2008»
    A family of dissimilarity measures between nodes generalizing both the shortest-path and the commute-time distances
    14 years 10 months ago
    A family of dissimilarity measures between nodes generalizing both the shortest-path and the commute-time distances
    Download  www.isys.ucl.ac.be
    This work introduces a new family of link-based dissimilarity measures between nodes of a weighted directed graph. This measure, called the randomized shortest-path (RSP) dissimil...
    Luh Yen, Marco Saerens, Amin Mantrach, Masashi Shi...
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    KDD
    2009
    ACM
    167views Data Mining» more  KDD 2009»
    Anomalous window discovery through scan statistics for linear intersecting paths (SSLIP)
    14 years 5 months ago
    Anomalous window discovery through scan statistics for linear intersecting paths (SSLIP)
    Download  www.comp.nus.edu.sg
    Anomalous windows are the contiguous groupings of data points. In this paper, we propose an approach for discovering anomalous windows using Scan Statistics for Linear Intersectin...
    Lei Shi, Vandana Pursnani Janeja
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