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    BIOINFORMATICS
    2005
    151views more  BIOINFORMATICS 2005»
    Differential and trajectory methods for time course gene expression data
    13 years 4 months ago
    Differential and trajectory methods for time course gene expression data
    Download  www.acsu.buffalo.edu
    Motivation: The issue of high dimensionality in microarray data has been, and remains, a hot topic in statistical and computational analysis. Efficient gene filtering and differen...
    Yulan Liang, Bamidele Tayo, Xueya Cai, Arpad Kelem...
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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 8 months ago
    A Simple Approach to Ranking Differentially Expressed Gene Expression Time Courses through Gaussian Process Regression
    Download  www.biomedcentral.com
    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
    154views more  BMCBI 2007»
    h-Profile plots for the discovery and exploration of patterns in gene expression data with an application to time course data
    13 years 4 months ago
    h-Profile plots for the discovery and exploration of patterns in gene expression data with an application to time course data
    Download  www.biomedcentral.com
    Background: An ever increasing number of techniques are being used to find genes with similar profiles from microarray studies. Visualization of gene expression profiles can aid t...
    Yvonne E. Pittelkow, Susan R. Wilson
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    IJON
    2008
    128views more  IJON 2008»
    Independent arrays or independent time courses for gene expression time series data analysis
    13 years 4 months ago
    Independent arrays or independent time courses for gene expression time series data analysis
    Download  mlg.postech.ac.kr
    In this paper we apply three different independent component analysis (ICA) methods, including spatial ICA (sICA), temporal ICA (tICA), and spatiotemporal ICA (stICA), to gene exp...
    Sookjeong Kim, Jong Kyoung Kim, Seungjin Choi
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    RECOMB
    2009
    Springer
    162views Computational Biology» more  RECOMB 2009»
    A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series
    14 years 5 months ago
    A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series
    Download  www.inference.phy.cam.ac.uk
    Abstract. Understanding the regulatory mechanisms that are responsible for an organism's response to environmental changes is an important question in molecular biology. A fir...
    Oliver Stegle, Katherine J. Denby, David L. Wild, ...
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