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    » Geometry of gene expression dynamics
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    IV
    2009
    IEEE
    155views Visualization» more  IV 2009»
    Visualizing Temporal Dynamics at the Genomic and Metabolic Level
    14 years 2 months ago
    Visualizing Temporal Dynamics at the Genomic and Metabolic Level
    Download  www.labri.fr
    We present an application for integrated visualization of gene expression data from time series experiments in gene regulation networks and metabolic networks. Such integration is...
    Romain Bourqui, Michel A. Westenberg
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    BMCBI
    2008
    115views more  BMCBI 2008»
    Principal components analysis based methodology to identify differentially expressed genes in time-course microarray data
    13 years 7 months ago
    Principal components analysis based methodology to identify differentially expressed genes in time-course microarray data
    Download  www.biomedcentral.com
    Background: Time-course microarray experiments are being increasingly used to characterize dynamic biological processes. In these experiments, the goal is to identify genes differ...
    Sudhakar Jonnalagadda, Rajagopalan Srinivasan
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    BMCBI
    2010
    106views more  BMCBI 2010»
    A computational evaluation of over-representation of regulatory motifs in the promoter regions of differentially expressed genes
    13 years 7 months ago
    A computational evaluation of over-representation of regulatory motifs in the promoter regions of differentially expressed genes
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    Background: Observed co-expression of a group of genes is frequently attributed to co-regulation by shared transcription factors. This assumption has led to the hypothesis that pr...
    Guofeng Meng, Axel Mosig, Martin Vingron
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    BMCBI
    2006
    98views more  BMCBI 2006»
    In search of functional association from time-series microarray data based on the change trend and level of gene expression
    13 years 7 months ago
    In search of functional association from time-series microarray data based on the change trend and level of gene expression
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    Background: The increasing availability of time-series expression data opens up new possibilities to study functional linkages of genes. Present methods used to infer functional l...
    Feng He, An-Ping Zeng
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    CEC
    2003
    IEEE
    166views Artificial Intelligence» more  CEC 2003»
    Stochastic neural network models for gene regulatory networks
    14 years 25 days ago
    Stochastic neural network models for gene regulatory networks
    Download  maths.uq.edu.au
    AbstractRecent advances in gene-expression profiling technologies provide large amounts of gene expression data. This raises the possibility for a functional understanding of geno...
    Tianhai Tian, Kevin Burrage
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