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    BMCBI
    2005
    133views more  BMCBI 2005»
    Ab initio identification of putative human transcription factor binding sites by comparative genomics
    14 years 9 months ago
    Ab initio identification of putative human transcription factor binding sites by comparative genomics
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    Background: Understanding transcriptional regulation of gene expression is one of the greatest challenges of modern molecular biology. A central role in this mechanism is played b...
    Davide Corà, Carl Herrmann, Christoph Diete...
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    TMI
    2008
    66views more  TMI 2008»
    Feature Normalization via Expectation Maximization and Unsupervised Nonparametric Classification For M-FISH Chromosome Images
    14 years 9 months ago
    Feature Normalization via Expectation Maximization and Unsupervised Nonparametric Classification For M-FISH Chromosome Images
    Download  live.ece.utexas.edu
    Multicolor fluorescence in situ hybridization (M-FISH) techniques provide color karyotyping that allows simultaneous analysis of numerical and structural abnormalities of whole hum...
    Hyohoon Choi, Alan C. Bovik, Kenneth R. Castleman
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    BMCBI
    2004
    169views more  BMCBI 2004»
    A power law global error model for the identification of differentially expressed genes in microarray data
    14 years 9 months ago
    A power law global error model for the identification of differentially expressed genes in microarray data
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    Background: High-density oligonucleotide microarray technology enables the discovery of genes that are transcriptionally modulated in different biological samples due to physiolog...
    Norman Pavelka, Mattia Pelizzola, Caterina Vizzard...
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    BMCBI
    2010
    150views more  BMCBI 2010»
    DeltaProt: a software toolbox for comparative genomics
    14 years 9 months ago
    DeltaProt: a software toolbox for comparative genomics
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    Background: Statistical bioinformatics is the study of biological data sets obtained by new micro-technologies by means of proper statistical methods. For a better understanding o...
    Steinar Thorvaldsen, Tor Flå, Nils Willassen
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    NECO
    2007
    150views more  NECO 2007»
    Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
    14 years 9 months ago
    Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
    Download  eprints.pascal-network.org
    Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
    Dorit Baras, Ron Meir
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