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    BMCBI
    2010
    132views more  BMCBI 2010»
    Parallel multiplicity and error discovery rate (EDR) in microarray experiments
    13 years 7 months ago
    Parallel multiplicity and error discovery rate (EDR) in microarray experiments
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    Background: In microarray gene expression profiling experiments, differentially expressed genes (DEGs) are detected from among tens of thousands of genes on an array using statist...
    Wayne Wenzhong Xu, Clay J. Carter
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    IJBRA
    2007
    97views more  IJBRA 2007»
    Structural Risk Minimisation based gene expression profiling analysis
    13 years 7 months ago
    Structural Risk Minimisation based gene expression profiling analysis
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    : For microarray based cancer classification, feature selection is a common method for improving classifier generalisation. Most wrapper methods use cross validation methods to eva...
    Xue-wen Chen, Byron Gerlach, Dechang Chen, ZhenQiu...
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    BMCBI
    2005
    80views more  BMCBI 2005»
    Sample phenotype clusters in high-density oligonucleotide microarray data sets are revealed using Isomap, a nonlinear algorithm
    13 years 7 months ago
    Sample phenotype clusters in high-density oligonucleotide microarray data sets are revealed using Isomap, a nonlinear algorithm
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    Background: Life processes are determined by the organism's genetic profile and multiple environmental variables. However the interaction between these factors is inherently ...
    Kevin Dawson, Raymond L. Rodriguez, Wasyl Malyj
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    BMCBI
    2010
    193views more  BMCBI 2010»
    Probe set filtering increases correlation between Affymetrix GeneChip and qRT-PCR expression measurements
    13 years 7 months ago
    Probe set filtering increases correlation between Affymetrix GeneChip and qRT-PCR expression measurements
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    Background: Affymetrix GeneChip microarrays are popular platforms for expression profiling in two types of studies: detection of differential expression computed by p-values of t-...
    Jakub Mieczkowski, Magdalena E. Tyburczy, Michal D...
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    BMCBI
    2007
    149views more  BMCBI 2007»
    A unified framework for finding differentially expressed genes from microarray experiments
    13 years 7 months ago
    A unified framework for finding differentially expressed genes from microarray experiments
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    Background: This paper presents a unified framework for finding differentially expressed genes (DEGs) from the microarray data. The proposed framework has three interrelated modul...
    Jahangheer S. Shaik, Mohammed Yeasin
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