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    BMCBI
    2007
    173views more  BMCBI 2007»
    Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
    13 years 5 months ago
    Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
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    Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
    Malik Yousef, Segun Jung, Louise C. Showe, Michael...
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    BMCBI
    2007
    133views more  BMCBI 2007»
    Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
    13 years 5 months ago
    Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
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    Background: Gene expression measurements during the development of the fly Drosophila melanogaster are routinely used to find functional modules of temporally co-expressed genes. ...
    Ivan G. Costa, Roland Krause, Lennart Opitz, Alexa...
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    BMCBI
    2006
    181views more  BMCBI 2006»
    Array2BIO: from microarray expression data to functional annotation of co-regulated genes
    13 years 5 months ago
    Array2BIO: from microarray expression data to functional annotation of co-regulated genes
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    Background: There are several isolated tools for partial analysis of microarray expression data. To provide an integrative, easy-to-use and automated toolkit for the analysis of A...
    Gabriela G. Loots, Patrick S. G. Chain, Shalini Ma...
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    BMCBI
    2008
    160views more  BMCBI 2008»
    A comparison of four clustering methods for brain expression microarray data
    13 years 5 months ago
    A comparison of four clustering methods for brain expression microarray data
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    Background: DNA microarrays, which determine the expression levels of tens of thousands of genes from a sample, are an important research tool. However, the volume of data they pr...
    Alexander L. Richards, Peter Holmans, Michael C. O...
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    CSDA
    2008
    128views more  CSDA 2008»
    Assessing agreement of clustering methods with gene expression microarray data
    13 years 5 months ago
    Assessing agreement of clustering methods with gene expression microarray data
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    In the rapidly evolving field of genomics, many clustering and classification methods have been developed and employed to explore patterns in gene expression data. Biologists face...
    Xueli Liu, Sheng-Chien Lee, George Casella, Gary F...
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