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    BMCBI
    2004
    169views more  BMCBI 2004»
    A power law global error model for the identification of differentially expressed genes in microarray data
    14 years 9 months ago
    A power law global error model for the identification of differentially expressed genes in microarray data
    Download  www.biomedcentral.com
    Background: High-density oligonucleotide microarray technology enables the discovery of genes that are transcriptionally modulated in different biological samples due to physiolog...
    Norman Pavelka, Mattia Pelizzola, Caterina Vizzard...
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    BMCBI
    2007
    147views more  BMCBI 2007»
    Statistical analysis and significance testing of serial analysis of gene expression data using a Poisson mixture model
    14 years 9 months ago
    Statistical analysis and significance testing of serial analysis of gene expression data using a Poisson mixture model
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    Background: Serial analysis of gene expression (SAGE) is used to obtain quantitative snapshots of the transcriptome. These profiles are count-based and are assumed to follow a Bin...
    Scott D. Zuyderduyn
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    KDD
    2001
    ACM
    156views Data Mining» more  KDD 2001»
    Classification of genes using probabilistic models of microarray expression profiles
    15 years 9 months ago
    Classification of genes using probabilistic models of microarray expression profiles
    Download  noble.gs.washington.edu
    Paul Pavlidis, Christopher Tang, William Stafford ...
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    BMCBI
    2004
    158views more  BMCBI 2004»
    A novel Mixture Model Method for identification of differentially expressed genes from DNA microarray data
    14 years 9 months ago
    A novel Mixture Model Method for identification of differentially expressed genes from DNA microarray data
    Download  www.biomedcentral.com
    Background: The main goal in analyzing microarray data is to determine the genes that are differentially expressed across two types of tissue samples or samples obtained under two...
    Kayvan Najarian, Maryam Zaheri, Ali Ajdari Rad, Si...
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    IDEAL
    2004
    Springer
    197views Intelligent Agents» more  IDEAL 2004»
    Building Genetic Networks for Gene Expression Patterns
    15 years 2 months ago
    Building Genetic Networks for Gene Expression Patterns
    Download  personal.systemsbiology.net
    Building genetic regulatory networks from time series data of gene expression patterns is an important topic in bioinformatics. Probabilistic Boolean networks (PBNs) have been deve...
    Wai-Ki Ching, Eric S. Fung, Michael K. Ng
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