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    BMCBI
    2006
    186views more  BMCBI 2006»
    Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method
    13 years 8 months ago
    Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method
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    Background: Quantitative simultaneous monitoring of the expression levels of thousands of genes under various experimental conditions is now possible using microarray experiments....
    Xiaoli Li, Yin-Chet Tan, See-Kiong Ng
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    BMCBI
    2010
    158views more  BMCBI 2010»
    Validation of differential gene expression algorithms: Application comparing fold-change estimation to hypothesis testing
    13 years 8 months ago
    Validation of differential gene expression algorithms: Application comparing fold-change estimation to hypothesis testing
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    Background: Sustained research on the problem of determining which genes are differentially expressed on the basis of microarray data has yielded a plethora of statistical algorit...
    Corey M. Yanofsky, David R. Bickel
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    BIOINFORMATICS
    2005
    151views more  BIOINFORMATICS 2005»
    Differential and trajectory methods for time course gene expression data
    13 years 8 months ago
    Differential and trajectory methods for time course gene expression data
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    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
    2006
    155views more  BMCBI 2006»
    A powerful method for detecting differentially expressed genes from GeneChip arrays that does not require replicates
    13 years 8 months ago
    A powerful method for detecting differentially expressed genes from GeneChip arrays that does not require replicates
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    Background: Studies of differential expression that use Affymetrix GeneChip arrays are often carried out with a limited number of replicates. Reasons for this include financial co...
    Anne-Mette K. Hein, Sylvia Richardson
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    BMCBI
    2008
    126views more  BMCBI 2008»
    Combining Shapley value and statistics to the analysis of gene expression data in children exposed to air pollution
    13 years 8 months ago
    Combining Shapley value and statistics to the analysis of gene expression data in children exposed to air pollution
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    Background: In gene expression analysis, statistical tests for differential gene expression provide lists of candidate genes having, individually, a sufficiently low p-value. Howe...
    Stefano Moretti, Danitsja van Leeuwen, Hans Gmuend...
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