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    SDM
    2004
    SIAM
    187views Data Mining» more  SDM 2004»
    Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data
    13 years 9 months ago
    Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data
    Download  www.cs.utexas.edu
    Microarray experiments have been extensively used for simultaneously measuring DNA expression levels of thousands of genes in genome research. A key step in the analysis of gene e...
    Hyuk Cho, Inderjit S. Dhillon, Yuqiang Guan, Suvri...
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    BMCBI
    2006
    134views more  BMCBI 2006»
    An approach for clustering gene expression data with error information
    13 years 8 months ago
    An approach for clustering gene expression data with error information
    Download  www.biomedcentral.com
    Background: Clustering of gene expression patterns is a well-studied technique for elucidating trends across large numbers of transcripts and for identifying likely co-regulated g...
    Brian Tjaden
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    BMCBI
    2007
    152views more  BMCBI 2007»
    Difference-based clustering of short time-course microarray data with replicates
    13 years 8 months ago
    Difference-based clustering of short time-course microarray data with replicates
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    Background: There are some limitations associated with conventional clustering methods for short time-course gene expression data. The current algorithms require prior domain know...
    Jihoon Kim, Ju Han Kim
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    NIPS
    2003
    133views Information Technology» more  NIPS 2003»
    ICA-based Clustering of Genes from Microarray Expression Data
    13 years 9 months ago
    ICA-based Clustering of Genes from Microarray Expression Data
    Download  books.nips.cc
    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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    NIPS
    2007
    134views Information Technology» more  NIPS 2007»
    Discriminative K-means for Clustering
    13 years 9 months ago
    Discriminative K-means for Clustering
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    We present a theoretical study on the discriminative clustering framework, recently proposed for simultaneous subspace selection via linear discriminant analysis (LDA) and cluster...
    Jieping Ye, Zheng Zhao, Mingrui Wu
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