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    » Analysis of variance components in gene expression data
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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
    14 years 9 months ago
    h-Profile plots for the discovery and exploration of patterns in gene expression data with an application to time course data
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    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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    BMCBI
    2007
    144views more  BMCBI 2007»
    Spectral estimation in unevenly sampled space of periodically expressed microarray time series data
    14 years 9 months ago
    Spectral estimation in unevenly sampled space of periodically expressed microarray time series data
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    Background: Periodogram analysis of time-series is widespread in biology. A new challenge for analyzing the microarray time series data is to identify genes that are periodically ...
    Alan Wee-Chung Liew, Jun Xian, Shuanhu Wu, David K...
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    ICASSP
    2011
    IEEE
    114views Signal Processing» more  ICASSP 2011»
    Performance analysis of MDL criterion for the detection of noncircular or/and nonGaussian components
    14 years 1 months ago
    Performance analysis of MDL criterion for the detection of noncircular or/and nonGaussian components
    Download  mirlab.org
    This paper presents an asymptotic analysis of the eigen value decomposition (EVD) of the sample covariance matrix associated with independent identically distributed (IID) non nec...
    Jean Pierre Delmas, Yann Meurisse
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    BMCBI
    2010
    170views more  BMCBI 2010»
    Integrative analysis of gene expression and copy number alterations using canonical correlation analysis
    14 years 9 months ago
    Integrative analysis of gene expression and copy number alterations using canonical correlation analysis
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    Background: With the rapid development of new genetic measurement methods, several types of genetic alterations can be quantified in a high-throughput manner. While the initial fo...
    Charlotte Soneson, Henrik Lilljebjörn, Thoas ...
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    BMCBI
    2007
    171views more  BMCBI 2007»
    Classification of microarray data using gene networks
    14 years 9 months ago
    Classification of microarray data using gene networks
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    Background: Microarrays have become extremely useful for analysing genetic phenomena, but establishing a relation between microarray analysis results (typically a list of genes) a...
    Franck Rapaport, Andrei Zinovyev, Marie Dutreix, E...
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