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    COCOON
    2005
    Springer
    156views Combinatorics» more  COCOON 2005»
    Algorithmic and Complexity Issues of Three Clustering Methods in Microarray Data Analysis
    13 years 10 months ago
    Algorithmic and Complexity Issues of Three Clustering Methods in Microarray Data Analysis
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    The complexity, approximation and algorithmic issues of several clustering problems are studied. These non-traditional clustering problems arise from recent studies in microarray ...
    Jinsong Tan, Kok Seng Chua, Louxin Zhang
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    BMCBI
    2005
    112views more  BMCBI 2005»
    Visualization methods for statistical analysis of microarray clusters
    13 years 4 months ago
    Visualization methods for statistical analysis of microarray clusters
    Download  function.princeton.edu
    Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
    Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...
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    BMCBI
    2011
    268views Artificial Intelligence» more  BMCBI 2011»
    A novel approach to the clustering of microarray data via nonparametric density estimation
    12 years 11 months ago
    A novel approach to the clustering of microarray data via nonparametric density estimation
    Download  www.biomedcentral.com
    Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
    Riccardo De Bin, Davide Risso
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    IMSCCS
    2006
    IEEE
    148views Theoretical Computer Science» more  IMSCCS 2006»
    Clustering of Gene Expression Data: Performance and Similarity Analysis
    13 years 10 months ago
    Clustering of Gene Expression Data: Performance and Similarity Analysis
    Download  www.biomedcentral.com
    Background: DNA Microarray technology is an innovative methodology in experimental molecular biology, which has produced huge amounts of valuable data in the profile of gene expre...
    Longde Yin, Chun-Hsi Huang
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    BMCBI
    2005
    80views more  BMCBI 2005»
    Sample phenotype clusters in high-density oligonucleotide microarray data sets are revealed using Isomap, a nonlinear algorithm
    13 years 4 months ago
    Sample phenotype clusters in high-density oligonucleotide microarray data sets are revealed using Isomap, a nonlinear algorithm
    Download  www.biomedcentral.com
    Background: Life processes are determined by the organism's genetic profile and multiple environmental variables. However the interaction between these factors is inherently ...
    Kevin Dawson, Raymond L. Rodriguez, Wasyl Malyj
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