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    TCBB
    2011
    182views Software Engineering» more  TCBB 2011»
    Learning Genetic Regulatory Network Connectivity from Time Series Data
    12 years 11 months ago
    Learning Genetic Regulatory Network Connectivity from Time Series Data
    Download  www.async.ece.utah.edu
    Recent experimental advances facilitate the collection of time series data that indicate which genes in a cell are expressed. This paper proposes an efficient method to generate th...
    Nathan A. Barker, Chris J. Myers, Hiroyuki Kuwahar...
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    BIOCOMP
    2009
    171views Bioinformatics» more  BIOCOMP 2009»
    Inferring Gene Regulatory Networks from Asynchronous Microarray Data
    13 years 5 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
    2007
    100views more  BIOINFORMATICS 2007»
    Boolean dynamics of genetic regulatory networks inferred from microarray time series data
    13 years 4 months ago
    Boolean dynamics of genetic regulatory networks inferred from microarray time series data
    Download  www.cs.sandia.gov
    Shawn Martin, Zhaoduo Zhang, Anthony Martino, Jean...
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    BIOCOMP
    2006
    233views Bioinformatics» more  BIOCOMP 2006»
    Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
    13 years 6 months ago
    Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
    Download  ww1.ucmss.com
    Exploring gene regulatory network is a key topic in molecular biology. In this paper, we present a new dynamic Bayesian network (DBN) framework embedded with structural expectatio...
    Yu Zhang, Zhidong Deng, Hongshan Jiang, Peifa Jia
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    NN
    2007
    Springer
    267views Neural Networks» more  NN 2007»
    Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization
    13 years 4 months ago
    Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization
    Download  web.mst.edu
    In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
    Rui Xu, Ganesh K. Venayagamoorthy, Donald C. Wunsc...
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