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    BMCBI
    2007
    182views more  BMCBI 2007»
    Identifying regulatory targets of cell cycle transcription factors using gene expression and ChIP-chip data
    13 years 5 months ago
    Identifying regulatory targets of cell cycle transcription factors using gene expression and ChIP-chip data
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    Background: ChIP-chip data, which indicate binding of transcription factors (TFs) to DNA regions in vivo, are widely used to reconstruct transcriptional regulatory networks. Howev...
    Wei-Sheng Wu, Wen-Hsiung Li, Bor-Sen Chen
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    BMCBI
    2005
    145views more  BMCBI 2005»
    CAGER: classification analysis of gene expression regulation using multiple information sources
    13 years 5 months ago
    CAGER: classification analysis of gene expression regulation using multiple information sources
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    Background: Many classification approaches have been applied to analyzing transcriptional regulation of gene expressions. These methods build models that can explain a gene's...
    Jianhua Ruan, Weixiong Zhang
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    BMCBI
    2004
    146views more  BMCBI 2004»
    Defining transcriptional networks through integrative modeling of mRNA expression and transcription factor binding data
    13 years 5 months ago
    Defining transcriptional networks through integrative modeling of mRNA expression and transcription factor binding data
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    Background: Functional genomics studies are yielding information about regulatory processes in the cell at an unprecedented scale. In the yeast S. cerevisiae, DNA microarrays have...
    Feng Gao, Barrett C. Foat, Harmen J. Bussemaker
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    BMCBI
    2005
    201views more  BMCBI 2005»
    Principal component analysis for predicting transcription-factor binding motifs from array-derived data
    13 years 5 months ago
    Principal component analysis for predicting transcription-factor binding motifs from array-derived data
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    Background: The responses to interleukin 1 (IL-1) in human chondrocytes constitute a complex regulatory mechanism, where multiple transcription factors interact combinatorially to...
    Yunlong Liu, Matthew P. Vincenti, Hiroki Yokota
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    JCB
    2006
    185views more  JCB 2006»
    A Probabilistic Methodology for Integrating Knowledge and Experiments on Biological Networks
    13 years 5 months ago
    A Probabilistic Methodology for Integrating Knowledge and Experiments on Biological Networks
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    Biological systems are traditionally studied by focusing on a specific subsystem, building an intuitive model for it, and refining the model using results from carefully designed ...
    Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...
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