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    BMCBI
    2007
    136views more  BMCBI 2007»
    Prediction of tissue-specific cis-regulatory modules using Bayesian networks and regression trees
    13 years 7 months ago
    Prediction of tissue-specific cis-regulatory modules using Bayesian networks and regression trees
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    Background: In vertebrates, a large part of gene transcriptional regulation is operated by cisregulatory modules. These modules are believed to be regulating much of the tissue-sp...
    Xiaoyu Chen, Mathieu Blanchette
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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 7 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
    2002
    136views more  BMCBI 2002»
    Making sense of EST sequences by CLOBBing them
    13 years 7 months ago
    Making sense of EST sequences by CLOBBing them
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    Background: Expressed sequence tags (ESTs) are single pass reads from randomly selected cDNA clones. They provide a highly cost-effective method to access and identify expressed g...
    John Parkinson, David B. Guiliano, Mark L. Blaxter
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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 7 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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    DIS
    2004
    Springer
    120views Theoretical Computer Science» more  DIS 2004»
    A Methodology for Biologically Relevant Pattern Discovery from Gene Expression Data
    14 years 25 days ago
    A Methodology for Biologically Relevant Pattern Discovery from Gene Expression Data
    Download  liris.cnrs.fr
    Abstract. One of the most exciting scientific challenges in functional genomics concerns the discovery of biologically relevant patterns from gene expression data. For instance, i...
    Ruggero G. Pensa, Jérémy Besson, Jea...
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