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    BMCBI
    2007
    134views more  BMCBI 2007»
    A framework for significance analysis of gene expression data using dimension reduction methods
    13 years 10 months ago
    A framework for significance analysis of gene expression data using dimension reduction methods
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    Background: The most popular methods for significance analysis on microarray data are well suited to find genes differentially expressed across predefined categories. However, ide...
    Lars Halvor Gidskehaug, Endre Anderssen, Arnar Fla...
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    BMCBI
    2010
    154views more  BMCBI 2010»
    Motif Enrichment Analysis: a unified framework and an evaluation on ChIP data
    13 years 10 months ago
    Motif Enrichment Analysis: a unified framework and an evaluation on ChIP data
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    Background: A major goal of molecular biology is determining the mechanisms that control the transcription of genes. Motif Enrichment Analysis (MEA) seeks to determine which DNA-b...
    Robert C. McLeay, Timothy L. Bailey
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    BMCBI
    2007
    165views more  BMCBI 2007»
    TagSmart: analysis and visualization for yeast mutant fitness data measured by tag microarrays
    13 years 10 months ago
    TagSmart: analysis and visualization for yeast mutant fitness data measured by tag microarrays
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    Background: A nearly complete collection of gene-deletion mutants (96% of annotated open reading frames) of the yeast Saccharomyces cerevisiae has been systematically constructed....
    Chulyun Kim, Sangkyum Kim, Russell Dorer, Dan Xie,...
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    PR
    2008
    161views more  PR 2008»
    A study on three linear discriminant analysis based methods in small sample size problem
    13 years 10 months ago
    A study on three linear discriminant analysis based methods in small sample size problem
    Download  www.public.asu.edu
    In this paper, we make a study on three Linear Discriminant Analysis (LDA) based methods: Regularized Discriminant Analysis (RDA), Discriminant Common Vectors (DCV) and Maximal Ma...
    Jun Liu, Songcan Chen, Xiaoyang Tan
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    FCCM
    1999
    IEEE
    210views VLSI» more  FCCM 1999»
    Algorithm Analysis and Mapping Environment for Adaptive Computing Systems: Further Results
    14 years 2 months ago
    Algorithm Analysis and Mapping Environment for Adaptive Computing Systems: Further Results
    Download  alum.wpi.edu
    Abstract We are developing an integrated algorithm analysis and mapping environment particularly tailored for signal processing applications on Adaptive Computing Systems ACS. Our ...
    Eric K. Pauer, Paul D. Fiore, John M. Smith
    posted by madox
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