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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 8 months ago
    Principal components analysis based methodology to identify differentially expressed genes in time-course microarray data
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    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
    2004
    135views more  BMCBI 2004»
    Determination of the differentially expressed genes in microarray experiments using local FDR
    13 years 8 months ago
    Determination of the differentially expressed genes in microarray experiments using local FDR
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    Background: Thousands of genes in a genomewide data set are tested against some null hypothesis, for detecting differentially expressed genes in microarray experiments. The expect...
    Julie Aubert, Avner Bar-Hen, Jean-Jacques Daudin, ...
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    PSB
    2004
    73views Applied Computing» more  PSB 2004»
    Modeling Gene Expression from Microarray Expression Data with State-Space Equations
    13 years 10 months ago
    Modeling Gene Expression from Microarray Expression Data with State-Space Equations
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    Fang-Xiang Wu, Wen-Jun Zhang, Anthony J. Kusalik
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    IJCNN
    2006
    IEEE
    186views Neural Networks» more  IJCNN 2006»
    Reconstruction of Gene Regulatory Networks from Temporal Microarray Data Using Pattern Recognition Techniques
    14 years 2 months ago
    Reconstruction of Gene Regulatory Networks from Temporal Microarray Data Using Pattern Recognition Techniques
    Download  www-rohan.sdsu.edu
    - Gene regulatory networks allow us to study and understand genes’ roles in biological processes. Among others, regulatory networks help to identify pathway initiator genes and t...
    Azhar Salim, Faramarz Valafar
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    BMCBI
    2008
    125views more  BMCBI 2008»
    MAID : An effect size based model for microarray data integration across laboratories and platforms
    13 years 8 months ago
    MAID : An effect size based model for microarray data integration across laboratories and platforms
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    Background: Gene expression profiling has the potential to unravel molecular mechanisms behind gene regulation and identify gene targets for therapeutic interventions. As microarr...
    Ivan Borozan, Limin Chen, Bryan Paeper, Jenny E. H...
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