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    BMCBI
    2004
    207views more  BMCBI 2004»
    Computational identification of transcription factor binding sites by functional analysis of sets of genes sharing overrep-resen
    13 years 7 months ago
    Computational identification of transcription factor binding sites by functional analysis of sets of genes sharing overrep-resen
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    Background: Transcriptional regulation is a key mechanism in the functioning of the cell, and is mostly effected through transcription factors binding to specific recognition moti...
    Davide Corà, Ferdinando Di Cunto, Paolo Pro...
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    ICS
    2005
    Tsinghua U.
    139views Distributed And Parallel Com...» more  ICS 2005»
    Optimization of MPI collective communication on BlueGene/L systems
    14 years 1 months ago
    Optimization of MPI collective communication on BlueGene/L systems
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    BlueGene/L is currently the world’s fastest supercomputer. It consists of a large number of low power dual-processor compute nodes interconnected by high speed torus and collect...
    George Almási, Philip Heidelberger, Charles...
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    BMCBI
    2006
    142views more  BMCBI 2006»
    Improving the Performance of SVM-RFE to Select Genes in Microarray Data
    13 years 8 months ago
    Improving the Performance of SVM-RFE to Select Genes in Microarray Data
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    Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
    Yuanyuan Ding, Dawn Wilkins
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    BMCBI
    2007
    116views more  BMCBI 2007»
    MED: a new non-supervised gene prediction algorithm for bacterial and archaeal genomes
    13 years 8 months ago
    MED: a new non-supervised gene prediction algorithm for bacterial and archaeal genomes
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    Background: Despite a remarkable success in the computational prediction of genes in Bacteria and Archaea, a lack of comprehensive understanding of prokaryotic gene structures pre...
    Huaiqiu Zhu, Gang-Qing Hu, Yi-Fan Yang, Jin Wang, ...
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    BMCBI
    2010
    109views more  BMCBI 2010»
    Application of machine learning methods to histone methylation ChIP-Seq data reveals H4R3me2 globally represses gene expression
    13 years 8 months ago
    Application of machine learning methods to histone methylation ChIP-Seq data reveals H4R3me2 globally represses gene expression
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    Background: In the last decade, biochemical studies have revealed that epigenetic modifications including histone modifications, histone variants and DNA methylation form a comple...
    Xiaojiang Xu, Stephen Hoang, Marty W. Mayo, Stefan...
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