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    » Analysis techniques for microarray time-series data
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    BMCBI
    2007
    134views more  BMCBI 2007»
    Nearest Neighbor Networks: clustering expression data based on gene neighborhoods
    13 years 8 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
    168views more  BMCBI 2007»
    GOSim - an R-package for computation of information theoretic GO similarities between terms and gene products
    13 years 8 months ago
    GOSim - an R-package for computation of information theoretic GO similarities between terms and gene products
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    Background: With the increased availability of high throughput data, such as DNA microarray data, researchers are capable of producing large amounts of biological data. During the...
    Holger Fröhlich, Nora Speer, Annemarie Poustk...
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    ITSSA
    2006
    109views more  ITSSA 2006»
    Gene Expression Analysis in Multi-Agent Environment
    13 years 8 months ago
    Gene Expression Analysis in Multi-Agent Environment
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    Abstract. This paper presents a multi-agent approach to gene expression analysis and illustrates the working steps using real dataset produced from a microarray experiment. The ana...
    H. C. Lam, M. Vazquez, B. Juneja, Scott C. Fahrenk...
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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
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    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
    2006
    186views more  BMCBI 2006»
    Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method
    13 years 8 months ago
    Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method
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    Background: Quantitative simultaneous monitoring of the expression levels of thousands of genes under various experimental conditions is now possible using microarray experiments....
    Xiaoli Li, Yin-Chet Tan, See-Kiong Ng
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