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    » EDGE: extraction and analysis of differential gene expressio...
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    BMCBI
    2008
    99views more  BMCBI 2008»
    Ranking analysis of F-statistics for microarray data
    14 years 9 months ago
    Ranking analysis of F-statistics for microarray data
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    Background: Microarray technology provides an efficient means for globally exploring physiological processes governed by the coordinated expression of multiple genes. However, ide...
    Yuan-De Tan, Myriam Fornage, Hongyan Xu
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    BMCBI
    2004
    131views more  BMCBI 2004»
    Detection of chromosomal regions showing differential gene expression in human skeletal muscle and in alveolar rhabdomyosarcoma
    14 years 9 months ago
    Detection of chromosomal regions showing differential gene expression in human skeletal muscle and in alveolar rhabdomyosarcoma
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    Background: Rhabdomyosarcoma is a relatively common tumour of the soft tissue, probably due to regulatory disruption of growth and differentiation of skeletal muscle stem cells. I...
    Andrea Bisognin, Stefania Bortoluzzi, Gian Antonio...
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    BMCBI
    2010
    214views more  BMCBI 2010»
    AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
    14 years 9 months ago
    AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
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    Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
    Aaron M. Newman, James B. Cooper
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    BMCBI
    2006
    103views more  BMCBI 2006»
    Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression
    14 years 9 months ago
    Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression
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    Background: The identification of differentially expressed genes (DEGs) from Affymetrix GeneChips arrays is currently done by first computing expression levels from the low-level ...
    Sébastien Lemieux
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    IMSCCS
    2007
    IEEE
    96views Theoretical Computer Science» more  IMSCCS 2007»
    Multi-dimensional Cluster Misclassification Test for Pathway Differential Analysis of Diabetes
    15 years 4 months ago
    Multi-dimensional Cluster Misclassification Test for Pathway Differential Analysis of Diabetes
    Download  seas006.udc.edu
    Gene pathway can be defined as a group of genes that interact with each other to perform some biological processes. Along with the efforts to identify the individual genes that pl...
    Lily R. Liang, Vinay Mandal, Yi Lu, Deepak Kumar
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