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    » Gene Expression Clustering with Functional Mixture Models
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    KDD
    2004
    ACM
    237views Data Mining» more  KDD 2004»
    Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
    14 years 8 months ago
    Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
    Download  www.eh3.uc.edu
    Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
    Mario Medvedovic, Junhai Guo
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    NIPS
    2008
    174views Information Technology» more  NIPS 2008»
    A mixture model for the evolution of gene expression in non-homogeneous datasets
    13 years 9 months ago
    A mixture model for the evolution of gene expression in non-homogeneous datasets
    Download  www.gatsby.ucl.ac.uk
    We address the challenge of assessing conservation of gene expression in complex, non-homogeneous datasets. Recent studies have demonstrated the success of probabilistic models in...
    Gerald Quon, Yee Whye Teh, Esther Chan, Timothy R....
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    BMCBI
    2004
    158views more  BMCBI 2004»
    A novel Mixture Model Method for identification of differentially expressed genes from DNA microarray data
    13 years 7 months ago
    A novel Mixture Model Method for identification of differentially expressed genes from DNA microarray data
    Download  www.biomedcentral.com
    Background: The main goal in analyzing microarray data is to determine the genes that are differentially expressed across two types of tissue samples or samples obtained under two...
    Kayvan Najarian, Maryam Zaheri, Ali Ajdari Rad, Si...
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    CSB
    2004
    IEEE
    164views Bioinformatics» more  CSB 2004»
    Biclustering in Gene Expression Data by Tendency
    13 years 11 months ago
    Biclustering in Gene Expression Data by Tendency
    Download  www.cs.unc.edu
    The advent of DNA microarray technologies has revolutionized the experimental study of gene expression. Clustering is the most popular approach of analyzing gene expression data a...
    Jinze Liu, Jiong Yang, Wei Wang 0010
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    IJNS
    2006
    37views more  IJNS 2006»
    Mixture Models for Detecting Differentially Expressed Genes in Microarrays
    13 years 7 months ago
    Mixture Models for Detecting Differentially Expressed Genes in Microarrays
    Download  www.maths.uq.edu.au
    Liat Ben-Tovim Jones, Richard Bean, Geoffrey J. Mc...
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