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    BMCBI
    2008
    98views more  BMCBI 2008»
    Empirical Bayes models for multiple probe type microarrays at the probe level
    13 years 7 months ago
    Empirical Bayes models for multiple probe type microarrays at the probe level
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    Background: When analyzing microarray data a primary objective is often to find differentially expressed genes. With empirical Bayes and penalized t-tests the sample variances are...
    Magnus Åstrand, Petter Mostad, Mats Rudemo
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    BMCBI
    2006
    147views more  BMCBI 2006»
    Grouping Gene Ontology terms to improve the assessment of gene set enrichment in microarray data
    13 years 7 months ago
    Grouping Gene Ontology terms to improve the assessment of gene set enrichment in microarray data
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    Background: Gene Ontology (GO) terms are often used to assess the results of microarray experiments. The most common way to do this is to perform Fisher's exact tests to find...
    Alex Lewin, Ian C. Grieve
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    BMCBI
    2011
    215views Artificial Intelligence» more  BMCBI 2011»
    AnyExpress: Integrated toolkit for analysis of cross-platform gene expression data using a fast interval matching algorithm
    13 years 2 months ago
    AnyExpress: Integrated toolkit for analysis of cross-platform gene expression data using a fast interval matching algorithm
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    Background: Cross-platform analysis of gene express data requires multiple, intricate processes at different layers with various platforms. However, existing tools handle only a s...
    Jihoon Kim, Kiltesh Patel, Hyunchul Jung, Winston ...
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    BMCBI
    2008
    166views more  BMCBI 2008»
    Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
    13 years 7 months ago
    Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
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    Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
    Weijun Luo, Kurt D. Hankenson, Peter J. Woolf
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    BMCBI
    2005
    121views more  BMCBI 2005»
    Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data
    13 years 7 months ago
    Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data
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    Background: A critical step in processing oligonucleotide microarray data is combining the information in multiple probes to produce a single number that best captures the express...
    Kerby Shedden, Wei Chen, Rork Kuick, Debashis Ghos...
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