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    BMCBI
    2007
    134views more  BMCBI 2007»
    Nearest Neighbor Networks: clustering expression data based on gene neighborhoods
    13 years 7 months ago
    Nearest Neighbor Networks: clustering expression data based on gene neighborhoods
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    Background: The availability of microarrays measuring thousands of genes simultaneously across hundreds of biological conditions represents an opportunity to understand both indiv...
    Curtis Huttenhower, Avi I. Flamholz, Jessica N. La...
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    BMCBI
    2007
    156views more  BMCBI 2007»
    Large-scale clustering of CAGE tag expression data
    13 years 7 months ago
    Large-scale clustering of CAGE tag expression data
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    Background: Recent analyses have suggested that many genes possess multiple transcription start sites (TSSs) that are differentially utilized in different tissues and cell lines. ...
    Kazuro Shimokawa, Yuko Okamura-Oho, Takio Kurita, ...
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    BMCBI
    2010
    165views more  BMCBI 2010»
    Bayesian integrated modeling of expression data: a case study on RhoG
    13 years 7 months ago
    Bayesian integrated modeling of expression data: a case study on RhoG
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    Background: DNA microarrays provide an efficient method for measuring activity of genes in parallel and even covering all the known transcripts of an organism on a single array. T...
    Rashi Gupta, Dario Greco, Petri Auvinen, Elja Arja...
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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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    BMCBI
    2002
    195views more  BMCBI 2002»
    Clustering of the SOM easily reveals distinct gene expression patterns: results of a reanalysis of lymphoma study
    13 years 7 months ago
    Clustering of the SOM easily reveals distinct gene expression patterns: results of a reanalysis of lymphoma study
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    Background: A method to evaluate and analyze the massive data generated by series of microarray experiments is of utmost importance to reveal the hidden patterns of gene expressio...
    Junbai Wang, Jan Delabie, Hans Christian Aasheim, ...
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