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    BMCBI
    2006
    123views more  BMCBI 2006»
    Characterizing disease states from topological properties of transcriptional regulatory networks
    13 years 8 months ago
    Characterizing disease states from topological properties of transcriptional regulatory networks
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    Background: High throughput gene expression experiments yield large amounts of data that can augment our understanding of disease processes, in addition to classifying samples. He...
    David Tuck, Harriet Kluger, Yuval Kluger
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    BMCBI
    2005
    148views more  BMCBI 2005»
    Nonparametric tests for differential gene expression and interaction effects in multi-factorial microarray experiments
    13 years 8 months ago
    Nonparametric tests for differential gene expression and interaction effects in multi-factorial microarray experiments
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    Background: Numerous nonparametric approaches have been proposed in literature to detect differential gene expression in the setting of two user-defined groups. However, there is ...
    Xin Gao, Peter X. K. Song
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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
    2004
    169views more  BMCBI 2004»
    A power law global error model for the identification of differentially expressed genes in microarray data
    13 years 8 months ago
    A power law global error model for the identification of differentially expressed genes in microarray data
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    Background: High-density oligonucleotide microarray technology enables the discovery of genes that are transcriptionally modulated in different biological samples due to physiolog...
    Norman Pavelka, Mattia Pelizzola, Caterina Vizzard...
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    BMCBI
    2006
    126views more  BMCBI 2006»
    Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass ge
    13 years 8 months ago
    Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass ge
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    Background: Due to the large number of genes in a typical microarray dataset, feature selection looks set to play an important role in reducing noise and computational cost in gen...
    Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng
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