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    ACSC
    2009
    IEEE
    204views Theoretical Computer Science» more  ACSC 2009»
    Inference of Gene Expression Networks Using Memetic Gene Expression Programming
    14 years 3 months ago
    Inference of Gene Expression Networks Using Memetic Gene Expression Programming
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    In this paper we aim to infer a model of genetic networks from time series data of gene expression profiles by using a new gene expression programming algorithm. Gene expression n...
    Armita Zarnegar, Peter Vamplew, Andrew Stranieri
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    BMCBI
    2008
    158views more  BMCBI 2008»
    Analyzing M-CSF dependent monocyte/macrophage differentiation: Expression modes and meta-modes derived from an independent compo
    13 years 8 months ago
    Analyzing M-CSF dependent monocyte/macrophage differentiation: Expression modes and meta-modes derived from an independent compo
    Download  www.biomedcentral.com
    Background: The analysis of high-throughput gene expression data sets derived from microarray experiments still is a field of extensive investigation. Although new approaches and ...
    Dominik Lutter, Peter Ugocsai, Margot Grandl, Evel...
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    BMCBI
    2006
    138views more  BMCBI 2006»
    Determination of strongly overlapping signaling activity from microarray data
    13 years 8 months ago
    Determination of strongly overlapping signaling activity from microarray data
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    Background: As numerous diseases involve errors in signal transduction, modern therapeutics often target proteins involved in cellular signaling. Interpretation of the activity of...
    Ghislain Bidaut, Karsten Suhre, Jean-Michel Claver...
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    BMCBI
    2006
    148views more  BMCBI 2006»
    Exploiting the full power of temporal gene expression profiling through a new statistical test: Application to the analysis of m
    13 years 8 months ago
    Exploiting the full power of temporal gene expression profiling through a new statistical test: Application to the analysis of m
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    Background: The identification of biologically interesting genes in a temporal expression profiling dataset is challenging and complicated by high levels of experimental noise. Mo...
    Veronica Vinciotti, Xiaohui Liu, Rolf Turk, Emile ...
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    BMCBI
    2010
    115views more  BMCBI 2010»
    Importance of replication in analyzing time-series gene expression data: Corticosteroid dynamics and circadian patterns in rat l
    13 years 8 months ago
    Importance of replication in analyzing time-series gene expression data: Corticosteroid dynamics and circadian patterns in rat l
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    Background: Microarray technology is a powerful and widely accepted experimental technique in molecular biology that allows studying genome wide transcriptional responses. However...
    Tung T. Nguyen, Richard R. Almon, Debra C. DuBois,...
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