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    BMCBI
    2010
    164views more  BMCBI 2010»
    Merged consensus clustering to assess and improve class discovery with microarray data
    13 years 2 months ago
    Merged consensus clustering to assess and improve class discovery with microarray data
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    Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
    T. Ian Simpson, J. Douglas Armstrong, Andrew P. Ja...
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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 5 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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    BMCBI
    2006
    216views more  BMCBI 2006»
    Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
    13 years 5 months ago
    Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
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    Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...
    Haiying Wang, Huiru Zheng, David Simpson, Francisc...
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    BMCBI
    2007
    130views more  BMCBI 2007»
    Reproducibility of microarray data: a further analysis of microarray quality control (MAQC) data
    13 years 5 months ago
    Reproducibility of microarray data: a further analysis of microarray quality control (MAQC) data
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    Background: Many researchers are concerned with the comparability and reliability of microarray gene expression data. Recent completion of the MicroArray Quality Control (MAQC) pr...
    James J. Chen, Huey-miin Hsueh, Robert R. Delongch...
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    BMCBI
    2008
    142views more  BMCBI 2008»
    Genetic weighted k-means algorithm for clustering large-scale gene expression data
    13 years 5 months ago
    Genetic weighted k-means algorithm for clustering large-scale gene expression data
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    Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
    Fang-Xiang Wu
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