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    BMCBI
    2010
    104views more  BMCBI 2010»
    Response network analysis of differential gene expression in human epithelial lung cells during avian influenza infections
    13 years 7 months ago
    Response network analysis of differential gene expression in human epithelial lung cells during avian influenza infections
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    Background: The recent emergence of the H5N1 influenza virus from avian reservoirs has raised concern about future influenza strains of high virulence emerging that could easily i...
    Ken Tatebe, Ahmet Zeytun, Ruy M. Ribeiro, Robert H...
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    BMCBI
    2011
    192views Artificial Intelligence» more  BMCBI 2011»
    A Simple Approach to Ranking Differentially Expressed Gene Expression Time Courses through Gaussian Process Regression
    12 years 11 months ago
    A Simple Approach to Ranking Differentially Expressed Gene Expression Time Courses through Gaussian Process Regression
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    Background: The analysis of gene expression from time series underpins many biological studies. Two basic forms of analysis recur for data of this type: removing inactive (quiet) ...
    Alfredo A. Kalaitzis, Neil D. Lawrence
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    BMCBI
    2007
    130views more  BMCBI 2007»
    A model-based optimization framework for the inference of regulatory interactions using time-course DNA microarray expression da
    13 years 7 months ago
    A model-based optimization framework for the inference of regulatory interactions using time-course DNA microarray expression da
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    Background: Proteins are the primary regulatory agents of transcription even though mRNA expression data alone, from systems like DNA microarrays, are widely used. In addition, th...
    Reuben Thomas, Carlos J. Paredes, Sanjay Mehrotra,...
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    BMCBI
    2007
    134views more  BMCBI 2007»
    A framework for significance analysis of gene expression data using dimension reduction methods
    13 years 7 months ago
    A framework for significance analysis of gene expression data using dimension reduction methods
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    Background: The most popular methods for significance analysis on microarray data are well suited to find genes differentially expressed across predefined categories. However, ide...
    Lars Halvor Gidskehaug, Endre Anderssen, Arnar Fla...
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    BMCBI
    2007
    146views more  BMCBI 2007»
    Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
    13 years 7 months ago
    Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
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    Background: Transcriptional modules (TM) consist of groups of co-regulated genes and transcription factors (TF) regulating their expression. Two high-throughput (HT) experimental ...
    Xiangdong Liu, Walter J. Jessen, Siva Sivaganesan,...
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