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    BMCBI
    2005
    140views more  BMCBI 2005»
    Dissecting systems-wide data using mixture models: application to identify affected cellular processes
    13 years 8 months ago
    Dissecting systems-wide data using mixture models: application to identify affected cellular processes
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    Background: Functional analysis of data from genome-scale experiments, such as microarrays, requires an extensive selection of differentially expressed genes. Under many condition...
    J. Peter Svensson, Renée X. de Menezes, Ing...
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    BMCBI
    2007
    138views more  BMCBI 2007»
    A full Bayesian hierarchical mixture model for the variance of gene differential expression
    13 years 8 months ago
    A full Bayesian hierarchical mixture model for the variance of gene differential expression
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    Background: In many laboratory-based high throughput microarray experiments, there are very few replicates of gene expression levels. Thus, estimates of gene variances are inaccur...
    Samuel O. M. Manda, Rebecca E. Walls, Mark S. Gilt...
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    NIPS
    2003
    133views Information Technology» more  NIPS 2003»
    ICA-based Clustering of Genes from Microarray Expression Data
    13 years 10 months ago
    ICA-based Clustering of Genes from Microarray Expression Data
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    We propose an unsupervised methodology using independent component analysis (ICA) to cluster genes from DNA microarray data. Based on an ICA mixture model of genomic expression pa...
    Su-In Lee, Serafim Batzoglou
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    BMCBI
    2007
    126views more  BMCBI 2007»
    Including probe-level uncertainty in model-based gene expression clustering
    13 years 8 months ago
    Including probe-level uncertainty in model-based gene expression clustering
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    Background: Clustering is an important analysis performed on microarray gene expression data since it groups genes which have similar expression patterns and enables the explorati...
    Xuejun Liu, Kevin K. Lin, Bogi Andersen, Magnus Ra...
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    LPNMR
    2005
    Springer
    102views Automated Reasoning» more  LPNMR 2005»
    Inference of Gene Relations from Microarray Data by Abduction
    14 years 2 months ago
    Inference of Gene Relations from Microarray Data by Abduction
    Download  www.math-info.univ-paris5.fr
    We describe an application of Abductive Logic Programming (ALP) to the analysis of an important class of DNA microarray experiments. We develop an ALP theory that provides a simple...
    Irene Papatheodorou, Antonis C. Kakas, Marek J. Se...
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