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    BIBE
    2004
    IEEE
    107views Bioinformatics» more  BIBE 2004»
    Enhanced pClustering and Its Applications to Gene Expression Data
    13 years 11 months ago
    Enhanced pClustering and Its Applications to Gene Expression Data
    Download  si2.epfl.ch
    Clustering has been one of the most popular methods to discover useful biological insights from DNA microarray. An interesting paradigm is simultaneous clustering of both genes an...
    Sungroh Yoon, Christine Nardini, Luca Benini, Giov...
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    BMCBI
    2008
    148views more  BMCBI 2008»
    Discovering biclusters in gene expression data based on high-dimensional linear geometries
    13 years 7 months ago
    Discovering biclusters in gene expression data based on high-dimensional linear geometries
    Download  www.biomedcentral.com
    Background: In DNA microarray experiments, discovering groups of genes that share similar transcriptional characteristics is instrumental in functional annotation, tissue classifi...
    Xiangchao Gan, Alan Wee-Chung Liew, Hong Yan
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    BMEI
    2008
    IEEE
    222views Biomedical Imaging» more  BMEI 2008»
    Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps
    13 years 9 months ago
    Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps
    Download  math.georgiasouthern.edu
    The importance of gene expression data in cancer diagnosis and treatment by now has been widely recognized by cancer researchers in recent years. However, one of the major challen...
    Rui Xu, Steven Damelin, Boaz Nadler, Donald C. Wun...
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    BIBE
    2001
    IEEE
    188views Bioinformatics» more  BIBE 2001»
    Interrelated Two-way Clustering: An Unsupervised Approach for Gene Expression Data Analysis
    13 years 11 months ago
    Interrelated Two-way Clustering: An Unsupervised Approach for Gene Expression Data Analysis
    Download  www.cse.buffalo.edu
    DNA arrays can be used to measure the expression levels of thousands of genes simultaneously. Currently most research focuses on the interpretation of the meaning of the data. How...
    Chun Tang, Li Zhang, Aidong Zhang, Murali Ramanath...
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    BMCBI
    2007
    112views more  BMCBI 2007»
    Inferring biological functions and associated transcriptional regulators using gene set expression coherence analysis
    13 years 7 months ago
    Inferring biological functions and associated transcriptional regulators using gene set expression coherence analysis
    Download  www.biomedcentral.com
    Background: Gene clustering has been widely used to group genes with similar expression pattern in microarray data analysis. Subsequent enrichment analysis using predefined gene s...
    Tae-Min Kim, Yeun-Jun Chung, Mun-Gan Rhyu, Myeong ...
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