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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
    Download  www.biomedcentral.com
    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
    2004
    208views more  BMCBI 2004»
    Hybrid clustering for microarray image analysis combining intensity and shape features
    13 years 7 months ago
    Hybrid clustering for microarray image analysis combining intensity and shape features
    Download  www.biomedcentral.com
    Background: Image analysis is the first crucial step to obtain reliable results from microarray experiments. First, areas in the image belonging to single spots have to be identif...
    Jörg Rahnenführer, Daniel Bozinov
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    BICOB
    2009
    Springer
    194views Computational Biology» more  BICOB 2009»
    A Biclustering Method to Discover Co-regulated Genes Using Diverse Gene Expression Datasets
    13 years 5 months ago
    A Biclustering Method to Discover Co-regulated Genes Using Diverse Gene Expression Datasets
    Download  bmi.osu.edu
    We propose a two-step biclustering approach to mine co-regulation patterns of a given reference gene to discover other genes that function in a common biological process. Currently...
    Doruk Bozdag, Jeffrey D. Parvin, Ümit V. &Cce...
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    WIA
    1997
    Springer
    94views Artificial Intelligence» more  WIA 1997»
    In Vitro Implementation of Finite-State Machines
    13 years 11 months ago
    In Vitro Implementation of Finite-State Machines
    Download  www.csce.uark.edu
    Abstract. We explore the information processing capabilities and efciency of DNA computations by giving two di erent types of implementations of nite-state machines. A ligation-bas...
    Max H. Garzon, Y. Gao, John A. Rose, R. C. Murphy,...
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    COMAD
    2008
    127views Knowledge Management» more  COMAD 2008»
    REBMEC: Repeat Based Maximum Entropy Classifier for Biological Sequences
    13 years 9 months ago
    REBMEC: Repeat Based Maximum Entropy Classifier for Biological Sequences
    Download  www.cse.iitb.ac.in
    An important problem in biological data analysis is to predict the family of a newly discovered sequence like a protein or DNA sequence, using the collection of available sequence...
    Pratibha Rani, Vikram Pudi
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