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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
    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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    BMCBI
    2007
    197views more  BMCBI 2007»
    Boolean networks using the chi-square test for inferring large-scale gene regulatory networks
    13 years 4 months ago
    Boolean networks using the chi-square test for inferring large-scale gene regulatory networks
    Download  www.biomedcentral.com
    Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that...
    Haseong Kim, Jae K. Lee, Taesung Park
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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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    BMCBI
    2005
    178views more  BMCBI 2005»
    A quantization method based on threshold optimization for microarray short time series
    13 years 4 months ago
    A quantization method based on threshold optimization for microarray short time series
    Download  paduaresearch.cab.unipd.it
    Background: Reconstructing regulatory networks from gene expression profiles is a challenging problem of functional genomics. In microarray studies the number of samples is often ...
    Barbara Di Camillo, Fatima Sanchez-Cabo, Gianna To...
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