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    BMCBI
    2007
    134views more  BMCBI 2007»
    Nearest Neighbor Networks: clustering expression data based on gene neighborhoods
    13 years 7 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
    2008
    160views more  BMCBI 2008»
    A comparison of four clustering methods for brain expression microarray data
    13 years 7 months ago
    A comparison of four clustering methods for brain expression microarray data
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    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
    164views more  BMCBI 2006»
    Evaluation of clustering algorithms for gene expression data
    13 years 7 months ago
    Evaluation of clustering algorithms for gene expression data
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    Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
    Susmita Datta, Somnath Datta
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    KDD
    2002
    ACM
    147views Data Mining» more  KDD 2002»
    Visualized Classification of Multiple Sample Types
    14 years 8 months ago
    Visualized Classification of Multiple Sample Types
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    The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
    Li Zhang, Aidong Zhang, Murali Ramanathan
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    BMCBI
    2007
    130views more  BMCBI 2007»
    A model-based optimization framework for the inference of regulatory interactions using time-course DNA microarray expression da
    13 years 7 months ago
    A model-based optimization framework for the inference of regulatory interactions using time-course DNA microarray expression da
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    Background: Proteins are the primary regulatory agents of transcription even though mRNA expression data alone, from systems like DNA microarrays, are widely used. In addition, th...
    Reuben Thomas, Carlos J. Paredes, Sanjay Mehrotra,...
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