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    BMCBI
    2006
    146views more  BMCBI 2006»
    Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE
    13 years 8 months ago
    Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE
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    Background: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease...
    Satoshi Niijima, Satoru Kuhara
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    ICDM
    2007
    IEEE
    157views Data Mining» more  ICDM 2007»
    Failure Prediction in IBM BlueGene/L Event Logs
    14 years 2 months ago
    Failure Prediction in IBM BlueGene/L Event Logs
    Download  datamining.rutgers.edu
    Frequent failures are becoming a serious concern to the community of high-end computing, especially when the applications and the underlying systems rapidly grow in size and compl...
    Yinglung Liang, Yanyong Zhang, Hui Xiong, Ramendra...
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    BMCBI
    2010
    115views more  BMCBI 2010»
    Importance of replication in analyzing time-series gene expression data: Corticosteroid dynamics and circadian patterns in rat l
    13 years 8 months ago
    Importance of replication in analyzing time-series gene expression data: Corticosteroid dynamics and circadian patterns in rat l
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    Background: Microarray technology is a powerful and widely accepted experimental technique in molecular biology that allows studying genome wide transcriptional responses. However...
    Tung T. Nguyen, Richard R. Almon, Debra C. DuBois,...
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    EJC
    2010
    69views Information Technology» more  EJC 2010»
    On loop identities that can be obtained by a nuclear identification
    13 years 8 months ago
    On loop identities that can be obtained by a nuclear identification
    Download  tf.czu.cz
    We start by describing all the varieties of loops Q that can be defined by autotopisms x, x Q, where x is a composition of two triples, each of which becomes an autotopism when th...
    Ales Drápal, Premysl Jedlicka
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    BMCBI
    2006
    103views more  BMCBI 2006»
    Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression
    13 years 8 months ago
    Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression
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    Background: The identification of differentially expressed genes (DEGs) from Affymetrix GeneChips arrays is currently done by first computing expression levels from the low-level ...
    Sébastien Lemieux
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