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    BIOCOMP
    2006
    98views Bioinformatics» more  BIOCOMP 2006»
    A Heuristic Approach to Scoring Gene Clustering Algorithms
    14 years 11 months ago
    A Heuristic Approach to Scoring Gene Clustering Algorithms
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    In the past decades, many clustering algorithms have been proposed for the analysis of gene expression data, but little guidance is available to help choose among them. Given the ...
    Longde Yin, Chun-Hsi Huang
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    APBC
    2006
    77views Bioinformatics» more  APBC 2006»
    Gene Expression Data Clustering Based on Local Similarity Combination
    14 years 11 months ago
    Gene Expression Data Clustering Based on Local Similarity Combination
    Download  www.comp.nus.edu.sg
    De Pan, Fei Wang
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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
    14 years 9 months ago
    Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
    Download  www.biomedcentral.com
    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
    2007
    207views more  BMCBI 2007»
    Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
    14 years 9 months ago
    Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
    Download  www.biomedcentral.com
    Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
    Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, Shu...
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    BIOINFORMATICS
    2007
    195views more  BIOINFORMATICS 2007»
    Context-dependent clustering for dynamic cellular state modeling of microarray gene expression
    14 years 9 months ago
    Context-dependent clustering for dynamic cellular state modeling of microarray gene expression
    Download  www.stat.ucla.edu
    Motivation: High-throughput expression profiling allows researchers to study gene activities globally. Genes with similar expression profiles are likely to encode proteins that ma...
    Shinsheng Yuan, Ker-Chau Li
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