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    BIOINFORMATICS
    2006
    71views more  BIOINFORMATICS 2006»
    Large scale data mining approach for gene-specific standardization of microarray gene expression data
    14 years 9 months ago
    Large scale data mining approach for gene-specific standardization of microarray gene expression data
    Download  sansan.phy.ncu.edu.tw
    Sukjoon Yoon, Young Yang, Jiwon Choi, Jeeweon Seon...
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    FUIN
    2002
    123views more  FUIN 2002»
    Learning Rough Set Classifiers from Gene Expressions and Clinical Data
    14 years 9 months ago
    Learning Rough Set Classifiers from Gene Expressions and Clinical Data
    Download  www.lcb.uu.se
    Biological research is currently undergoing a revolution. With the advent of microarray technology the behavior of thousands of genes can be measured simultaneously. This capabilit...
    Herman Midelfart, Henryk Jan Komorowski, Kristin N...
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    BMCBI
    2002
    188views more  BMCBI 2002»
    The limit fold change model: A practical approach for selecting differentially expressed genes from microarray data
    14 years 9 months ago
    The limit fold change model: A practical approach for selecting differentially expressed genes from microarray data
    Download  www.biomedcentral.com
    Background: The biomedical community is developing new methods of data analysis to more efficiently process the massive data sets produced by microarray experiments. Systematic an...
    David M. Mutch, Alvin Berger, Robert Mansourian, A...
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    AUSDM
    2006
    Springer
    107views Data Mining» more  AUSDM 2006»
    Using a Kernel-Based Approach to Visualize Integrated Chronic Fatigue Syndrome Datasets
    15 years 1 months ago
    Using a Kernel-Based Approach to Visualize Integrated Chronic Fatigue Syndrome Datasets
    Download  crpit.com
    We describe the use of a kernel
    Ahmad Al-Oqaily, Paul J. Kennedy
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    BMCBI
    2010
    172views more  BMCBI 2010»
    Nonparametric identification of regulatory interactions from spatial and temporal gene expression data
    14 years 4 months ago
    Nonparametric identification of regulatory interactions from spatial and temporal gene expression data
    Download  www.biomedcentral.com
    Background: The correlation between the expression levels of transcription factors and their target genes can be used to infer interactions within animal regulatory networks, but ...
    Anil Aswani, Soile V. E. Keränen, James Brown...
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