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    » Identifying Projected Clusters from Gene Expression Profiles
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    BMCBI
    2007
    154views more  BMCBI 2007»
    h-Profile plots for the discovery and exploration of patterns in gene expression data with an application to time course data
    13 years 7 months ago
    h-Profile plots for the discovery and exploration of patterns in gene expression data with an application to time course data
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    Background: An ever increasing number of techniques are being used to find genes with similar profiles from microarray studies. Visualization of gene expression profiles can aid t...
    Yvonne E. Pittelkow, Susan R. Wilson
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    BMCBI
    2011
    290views Artificial Intelligence» more  BMCBI 2011»
    Errors in CGAP xProfiler and cDNA DGED: the importance of library parsing and gene selection algorithms
    13 years 2 months ago
    Errors in CGAP xProfiler and cDNA DGED: the importance of library parsing and gene selection algorithms
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    Background: The Cancer Genome Anatomy Project (CGAP) xProfiler and cDNA Digital Gene Expression Displayer (DGED) have been made available to the scientific community over a decade...
    Andrew T. Milnthorpe, Mikhail Soloviev
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    KDD
    2002
    ACM
    147views Data Mining» more  KDD 2002»
    Visualized Classification of Multiple Sample Types
    14 years 8 months ago
    Visualized Classification of Multiple Sample Types
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    The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
    Li Zhang, Aidong Zhang, Murali Ramanathan
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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
    2008
    146views more  BMCBI 2008»
    A phase synchronization clustering algorithm for identifying interesting groups of genes from cell cycle expression data
    13 years 7 months ago
    A phase synchronization clustering algorithm for identifying interesting groups of genes from cell cycle expression data
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    Background: The previous studies of genome-wide expression patterns show that a certain percentage of genes are cell cycle regulated. The expression data has been analyzed in a nu...
    Chang Sik Kim, Cheol Soo Bae, Hong Joon Tcha
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