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    BIBE
    2001
    IEEE
    188views Bioinformatics» more  BIBE 2001»
    Interrelated Two-way Clustering: An Unsupervised Approach for Gene Expression Data Analysis
    15 years 3 months ago
    Interrelated Two-way Clustering: An Unsupervised Approach for Gene Expression Data Analysis
    Download  www.cse.buffalo.edu
    DNA arrays can be used to measure the expression levels of thousands of genes simultaneously. Currently most research focuses on the interpretation of the meaning of the data. How...
    Chun Tang, Li Zhang, Aidong Zhang, Murali Ramanath...
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    BMCBI
    2007
    154views more  BMCBI 2007»
    h-Profile plots for the discovery and exploration of patterns in gene expression data with an application to time course data
    14 years 11 months ago
    h-Profile plots for the discovery and exploration of patterns in gene expression data with an application to time course data
    Download  www.biomedcentral.com
    Background: An ever increasing number of techniques are being used to find genes with similar profiles from microarray studies. Visualization of gene expression profiles can aid t...
    Yvonne E. Pittelkow, Susan R. Wilson
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    CSB
    2005
    IEEE
    205views Bioinformatics» more  CSB 2005»
    Fractal Clustering for Microarray Data Analysis
    15 years 5 months ago
    Fractal Clustering for Microarray Data Analysis
    Download  conferences.computer.org
    DNA microarray experiments generate a substantial amount of information about global gene expression. Gene expression profiles can be represented as points in multi-dimensional sp...
    Lu-Yong Wang, Ammaiappan Balasubramanian, Amit Cha...
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    BMCBI
    2008
    160views more  BMCBI 2008»
    A comparison of four clustering methods for brain expression microarray data
    14 years 11 months ago
    A comparison of four clustering methods for brain expression microarray data
    Download  www.biomedcentral.com
    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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    BMCBI
    2006
    149views more  BMCBI 2006»
    HeatMapper: powerful combined visualization of gene expression profile correlations, genotypes, phenotypes and sample characteri
    14 years 11 months ago
    HeatMapper: powerful combined visualization of gene expression profile correlations, genotypes, phenotypes and sample characteri
    Download  www.biomedcentral.com
    Background: Accurate interpretation of data obtained by unsupervised analysis of large scale expression profiling studies is currently frequently performed by visually combining s...
    Roel G. W. Verhaak, Mathijs A. Sanders, Maarten A....
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