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    BMCBI
    2005
    112views more  BMCBI 2005»
    Visualization methods for statistical analysis of microarray clusters
    13 years 6 months ago
    Visualization methods for statistical analysis of microarray clusters
    Download  function.princeton.edu
    Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
    Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...
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    BMCBI
    2007
    176views more  BMCBI 2007»
    Genome Expression Pathway Analysis Tool - Analysis and visualization of microarray gene expression data under genomic, proteomic
    13 years 6 months ago
    Genome Expression Pathway Analysis Tool - Analysis and visualization of microarray gene expression data under genomic, proteomic
    Download  www.biomedcentral.com
    Background: Regulation of gene expression is relevant to many areas of biology and medicine, in the study of treatments, diseases, and developmental stages. Microarrays can be use...
    Markus Weniger, Julia C. Engelmann, Jörg Schu...
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    ICCAD
    2006
    IEEE
    152views Hardware» more  ICCAD 2006»
    Performance-oriented statistical parameter reduction of parameterized systems via reduced rank regression
    14 years 3 months ago
    Performance-oriented statistical parameter reduction of parameterized systems via reduced rank regression
    Download  homepages.cae.wisc.edu
    Process variations in modern VLSI technologies are growing in both magnitude and dimensionality. To assess performance variability, complex simulation and performance models param...
    Zhuo Feng, Peng Li
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    KDD
    2005
    ACM
    118views Data Mining» more  KDD 2005»
    On the use of linear programming for unsupervised text classification
    14 years 6 months ago
    On the use of linear programming for unsupervised text classification
    Download  www.cs.cornell.edu
    We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
    Mark Sandler
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    BMCBI
    2006
    119views more  BMCBI 2006»
    Hidden Markov Model Variants and their Application
    13 years 6 months ago
    Hidden Markov Model Variants and their Application
    Download  www.cs.uno.edu
    Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
    Stephen Winters-Hilt
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