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    CIBB
    2008
    162views Artificial Intelligence» more  CIBB 2008»
    Unsupervised Stability-Based Ensembles to Discover Reliable Structures in Complex Bio-molecular Data
    14 years 11 months ago
    Unsupervised Stability-Based Ensembles to Discover Reliable Structures in Complex Bio-molecular Data
    Download  eprints.pascal-network.org
    The assessment of the reliability of clusters discovered in bio-molecular data is a central issue in several bioinformatics problems. Several methods based on the concept of stabil...
    Alberto Bertoni, Giorgio Valentini
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    BMCBI
    2007
    134views more  BMCBI 2007»
    Nearest Neighbor Networks: clustering expression data based on gene neighborhoods
    14 years 9 months ago
    Nearest Neighbor Networks: clustering expression data based on gene neighborhoods
    Download  www.biomedcentral.com
    Background: The availability of microarrays measuring thousands of genes simultaneously across hundreds of biological conditions represents an opportunity to understand both indiv...
    Curtis Huttenhower, Avi I. Flamholz, Jessica N. La...
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    BMCBI
    2008
    142views more  BMCBI 2008»
    Genetic weighted k-means algorithm for clustering large-scale gene expression data
    14 years 9 months ago
    Genetic weighted k-means algorithm for clustering large-scale gene expression data
    Download  www.biomedcentral.com
    Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
    Fang-Xiang Wu
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    BMCBI
    2008
    259views more  BMCBI 2008»
    DISCLOSE : DISsection of CLusters Obtained by SEries of transcriptome data using functional annotations and putative transcripti
    14 years 9 months ago
    DISCLOSE : DISsection of CLusters Obtained by SEries of transcriptome data using functional annotations and putative transcripti
    Download  www.biomedcentral.com
    Background: A typical step in the analysis of gene expression data is the determination of clusters of genes that exhibit similar expression patterns. Researchers are confronted w...
    Evert-Jan Blom, Sacha A. F. T. van Hijum, Klaas J....
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    BIOINFORMATICS
    2007
    195views more  BIOINFORMATICS 2007»
    Context-dependent clustering for dynamic cellular state modeling of microarray gene expression
    14 years 9 months ago
    Context-dependent clustering for dynamic cellular state modeling of microarray gene expression
    Download  www.stat.ucla.edu
    Motivation: High-throughput expression profiling allows researchers to study gene activities globally. Genes with similar expression profiles are likely to encode proteins that ma...
    Shinsheng Yuan, Ker-Chau Li
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