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    JBI
    2004
    171views Bioinformatics» more  JBI 2004»
    Consensus Clustering and Functional Interpretation of Gene Expression Data
    14 years 11 months ago
    Consensus Clustering and Functional Interpretation of Gene Expression Data
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    Microarray analysis using clustering algorithms can suffer from lack of inter-method consistency in assigning related gene-expression profiles to clusters. Obtaining a consensus s...
    Paul Kellam, Stephen Swift, Allan Tucker, Veronica...
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    BMCBI
    2006
    98views more  BMCBI 2006»
    In search of functional association from time-series microarray data based on the change trend and level of gene expression
    14 years 9 months ago
    In search of functional association from time-series microarray data based on the change trend and level of gene expression
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    Background: The increasing availability of time-series expression data opens up new possibilities to study functional linkages of genes. Present methods used to infer functional l...
    Feng He, An-Ping Zeng
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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
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    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
    2007
    156views more  BMCBI 2007»
    Large-scale clustering of CAGE tag expression data
    14 years 9 months ago
    Large-scale clustering of CAGE tag expression data
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    Background: Recent analyses have suggested that many genes possess multiple transcription start sites (TSSs) that are differentially utilized in different tissues and cell lines. ...
    Kazuro Shimokawa, Yuko Okamura-Oho, Takio Kurita, ...
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    BMCBI
    2004
    158views more  BMCBI 2004»
    Incremental genetic K-means algorithm and its application in gene expression data analysis
    14 years 9 months ago
    Incremental genetic K-means algorithm and its application in gene expression data analysis
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    Background: In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms suc...
    Yi Lu, Shiyong Lu, Farshad Fotouhi, Youping Deng, ...
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