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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 9 months ago
    A phase synchronization clustering algorithm for identifying interesting groups of genes from cell cycle expression data
    Download  www.biomedcentral.com
    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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    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 10 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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    AI
    2006
    Springer
    118views Artificial Intelligence» more  AI 2006»
    A New Profile Alignment Method for Clustering Gene Expression Data
    14 years 16 days ago
    A New Profile Alignment Method for Clustering Gene Expression Data
    Download  www.cs.uwindsor.ca
    We focus on clustering gene expression temporal profiles, and propose a novel, simple algorithm that is powerful enough to find an efficient distribution of genes over clusters. We...
    Ataul Bari, Luis Rueda
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    BMCBI
    2010
    214views more  BMCBI 2010»
    AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
    13 years 9 months ago
    AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
    Download  www.biomedcentral.com
    Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
    Aaron M. Newman, James B. Cooper
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    CSDA
    2008
    128views more  CSDA 2008»
    Assessing agreement of clustering methods with gene expression microarray data
    13 years 8 months ago
    Assessing agreement of clustering methods with gene expression microarray data
    Download  www.stat.ufl.edu
    In the rapidly evolving field of genomics, many clustering and classification methods have been developed and employed to explore patterns in gene expression data. Biologists face...
    Xueli Liu, Sheng-Chien Lee, George Casella, Gary F...
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