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    » Identifying Projected Clusters from Gene Expression Profiles
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    BMCBI
    2006
    127views more  BMCBI 2006»
    Using local gene expression similarities to discover regulatory binding site modules
    13 years 7 months ago
    Using local gene expression similarities to discover regulatory binding site modules
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    Background: We present an approach designed to identify gene regulation patterns using sequence and expression data collected for Saccharomyces cerevisae. Our main goal is to rela...
    Bartek Wilczynski, Torgeir R. Hvidsten, Andriy Kry...
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    BIODATAMINING
    2008
    135views more  BIODATAMINING 2008»
    Fast Gene Ontology based clustering for microarray experiments
    13 years 7 months ago
    Fast Gene Ontology based clustering for microarray experiments
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    Background: Analysis of a microarray experiment often results in a list of hundreds of diseaseassociated genes. In order to suggest common biological processes and functions for t...
    Kristian Ovaska, Marko Laakso, Sampsa Hautaniemi
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    BMCBI
    2006
    216views more  BMCBI 2006»
    Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
    13 years 7 months ago
    Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
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    Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...
    Haiying Wang, Huiru Zheng, David Simpson, Francisc...
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    NAR
    2007
    135views more  NAR 2007»
    g: Profiler - a web-based toolset for functional profiling of gene lists from large-scale experiments
    13 years 7 months ago
    g: Profiler - a web-based toolset for functional profiling of gene lists from large-scale experiments
    Download  emu.at.mt.ut.ee
    g:Profiler (http://biit.cs.ut.ee/gprofiler/) is a public web server for characterising and manipulating gene lists resulting from mining high-throughput genomic data. g:Profiler h...
    Jüri Reimand, Meelis Kull, Hedi Peterson, Jaa...
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    BMCBI
    2011
    242views Artificial Intelligence» more  BMCBI 2011»
    Statistical Test of Expression Pattern (STEPath): a new strategy to integrate gene expression data with genomic information in i
    13 years 2 months ago
    Statistical Test of Expression Pattern (STEPath): a new strategy to integrate gene expression data with genomic information in i
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    Background: In the last decades, microarray technology has spread, leading to a dramatic increase of publicly available datasets. The first statistical tools developed were focuse...
    Paolo G. V. Martini, Davide Risso, Gabriele Sales,...
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