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    » Smoothing Gene Expression Using Biological Networks
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    JBI
    2008
    159views Bioinformatics» more  JBI 2008»
    SEGS: Search for enriched gene sets in microarray data
    13 years 8 months ago
    SEGS: Search for enriched gene sets in microarray data
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    Gene Ontology (GO) terms are often used to interpret the results of microarray experiments. The most common approach is to perform Fisher's exact tests to find gene sets anno...
    Igor Trajkovski, Nada Lavrac, Jakub Tolar
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    BMCBI
    2005
    132views more  BMCBI 2005»
    Correlation and prediction of gene expression level from amino acid and dipeptide composition of its protein
    13 years 8 months ago
    Correlation and prediction of gene expression level from amino acid and dipeptide composition of its protein
    Download  www.biomedcentral.com
    Background: A large number of papers have been published on analysis of microarray data with particular emphasis on normalization of data, detection of differentially expressed ge...
    Gajendra P. S. Raghava, Joon H. Han
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    BMCBI
    2008
    160views more  BMCBI 2008»
    A comparison of four clustering methods for brain expression microarray data
    13 years 9 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
    123views more  BMCBI 2006»
    Characterizing disease states from topological properties of transcriptional regulatory networks
    13 years 9 months ago
    Characterizing disease states from topological properties of transcriptional regulatory networks
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    Background: High throughput gene expression experiments yield large amounts of data that can augment our understanding of disease processes, in addition to classifying samples. He...
    David Tuck, Harriet Kluger, Yuval Kluger
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    BMCBI
    2008
    173views more  BMCBI 2008»
    Gene Vector Analysis (Geneva): A unified method to detect differentially-regulated gene sets and similar microarray experiments
    13 years 9 months ago
    Gene Vector Analysis (Geneva): A unified method to detect differentially-regulated gene sets and similar microarray experiments
    Download  www.biomedcentral.com
    Background: Microarray experiments measure changes in the expression of thousands of genes. The resulting lists of genes with changes in expression are then searched for biologica...
    Stephen W. Tanner, Pankaj Agarwal
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