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    » Clustering Genes Using Heterogeneous Data Sources
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    BMCBI
    2006
    126views more  BMCBI 2006»
    A Regression-based K nearest neighbor algorithm for gene function prediction from heterogeneous data
    13 years 10 months ago
    A Regression-based K nearest neighbor algorithm for gene function prediction from heterogeneous data
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    Background: As a variety of functional genomic and proteomic techniques become available, there is an increasing need for functional analysis methodologies that integrate heteroge...
    Zizhen Yao, Walter L. Ruzzo
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    BMCBI
    2007
    207views more  BMCBI 2007»
    Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
    13 years 10 months ago
    Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
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    Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
    Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, Shu...
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    BMCBI
    2008
    160views more  BMCBI 2008»
    A comparison of four clustering methods for brain expression microarray data
    13 years 10 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
    2008
    121views more  BMCBI 2008»
    Microarray data mining using landmark gene-guided clustering
    13 years 10 months ago
    Microarray data mining using landmark gene-guided clustering
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    Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...
    Pankaj Chopra, Jaewoo Kang, Jiong Yang, HyungJun C...
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    BIOINFORMATICS
    2006
    74views more  BIOINFORMATICS 2006»
    A framework of integrating gene relations from heterogeneous data sources: an experiment on Arabidopsis thaliana
    13 years 10 months ago
    A framework of integrating gene relations from heterogeneous data sources: an experiment on Arabidopsis thaliana
    Download  ai.bpa.arizona.edu
    Jiexun Li, Xin Li, Hua Su, Hsinchun Chen, David W....
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