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    JCNS
    2010
    100views more  JCNS 2010»
    Methods for predicting cortical UP and DOWN states from the phase of deep layer local field potentials
    13 years 3 days ago
    Methods for predicting cortical UP and DOWN states from the phase of deep layer local field potentials
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    During anesthesia, slow-wave sleep and quiet wakefulness, neuronal membrane potentials collectively switch between de- and hyperpolarized levels, the cortical UP and DOWN states. P...
    Aman B. Saleem, Paul Chadderton, John Apergis-Scho...
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    BMCBI
    2010
    176views more  BMCBI 2010»
    Reverse engineering gene regulatory network from microarray data using linear time-variant model
    13 years 5 months ago
    Reverse engineering gene regulatory network from microarray data using linear time-variant model
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    nd: Gene regulatory network is an abstract mapping of gene regulations in living cells that can help to predict the system behavior of living organisms. Such prediction capability...
    Mitra Kabir, Nasimul Noman, Hitoshi Iba
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    BMCBI
    2008
    138views more  BMCBI 2008»
    Information transfer in signaling pathways: A study using coupled simulated and experimental data
    13 years 5 months ago
    Information transfer in signaling pathways: A study using coupled simulated and experimental data
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    Background: The topology of signaling cascades has been studied in quite some detail. However, how information is processed exactly is still relatively unknown. Since quite divers...
    Jürgen Pahle, Anne K. Green, C. Jane Dixon, U...
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    BMCBI
    2006
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    MCALIGN2: Faster, accurate global pairwise alignment of non-coding DNA sequences based on explicit models of indel evolution
    13 years 5 months ago
    MCALIGN2: Faster, accurate global pairwise alignment of non-coding DNA sequences based on explicit models of indel evolution
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    Background: Non-coding DNA sequences comprise a very large proportion of the total genomic content of mammals, most other vertebrates, many invertebrates, and most plants. Unravel...
    Jun Wang, Peter D. Keightley, Toby Johnson
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