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    BIOCOMP
    2009
    171views Bioinformatics» more  BIOCOMP 2009»
    Inferring Gene Regulatory Networks from Asynchronous Microarray Data
    13 years 9 months ago
    Inferring Gene Regulatory Networks from Asynchronous Microarray Data
    Download  dna.cs.byu.edu
    Modern approaches to treating genetic disorders, cancers and even epidemics rely on a detailed understanding of the underlying gene signaling network. Previous work has used time s...
    David Oviatt, Mark J. Clement, Quinn Snell, Kennet...
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    BIOINFORMATICS
    2006
    97views more  BIOINFORMATICS 2006»
    Inferring gene regulatory networks from time series data using the minimum description length principle
    13 years 8 months ago
    Inferring gene regulatory networks from time series data using the minimum description length principle
    Download  gsp.tamu.edu
    Wentao Zhao, Erchin Serpedin, Edward R. Dougherty
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    ISMB
    2003
    88views Computational Biology» more  ISMB 2003»
    Using hidden Markov models to analyze gene expression time course data
    13 years 9 months ago
    Using hidden Markov models to analyze gene expression time course data
    Download  bioinformatics.rutgers.edu
    Alexander Schliep, Alexander Schönhuth, Chris...
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    CIBCB
    2009
    IEEE
    191views Computational Biology» more  CIBCB 2009»
    Steady-state analysis of genetic regulatory networks modeled by nonlinear ordinary differential equations
    13 years 9 months ago
    Steady-state analysis of genetic regulatory networks modeled by nonlinear ordinary differential equations
    Download  wanghaixin.com
    Although Ordinary Differential Equations (ODEs) have been used to model Genetic Regulatory Networks (GRNs) in many previous works, their steady-state behaviors are not well studied...
    Haixin Wang, Lijun Qian, Edward R. Dougherty
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    BMCBI
    2005
    88views more  BMCBI 2005»
    Using large-scale perturbations in gene network reconstruction
    13 years 7 months ago
    Using large-scale perturbations in gene network reconstruction
    Download  eprints.ucl.ac.uk
    Background: Recent analysis of the yeast gene network shows that most genes have few inputs, indicating that enumerative gene reconstruction methods are both useful and computatio...
    Thomas MacCarthy, Andrew Pomiankowski, Robert Seym...
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