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    BMCBI
    2007
    126views more  BMCBI 2007»
    Using gene expression data and network topology to detect substantial pathways, clusters and switches during oxygen deprivation
    13 years 7 months ago
    Using gene expression data and network topology to detect substantial pathways, clusters and switches during oxygen deprivation
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    Background: Biochemical investigations over the last decades have elucidated an increasingly complete image of the cellular metabolism. To derive a systems view for the regulation...
    Gunnar Schramm, Marc Zapatka, Roland Eils, Rainer ...
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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
    13 years 7 months ago
    Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
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    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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    PSB
    2003
    102views Applied Computing» more  PSB 2003»
    Multiclass Cancer Classification Using Gene Expression Profiling and Probabilistic Neural Networks
    13 years 9 months ago
    Multiclass Cancer Classification Using Gene Expression Profiling and Probabilistic Neural Networks
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    Daniel P. Berrar, C. Stephen Downes, Werner Dubitz...
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    TCBB
    2008
    116views more  TCBB 2008»
    Inferring Connectivity of Genetic Regulatory Networks Using Information-Theoretic Criteria
    13 years 7 months ago
    Inferring Connectivity of Genetic Regulatory Networks Using Information-Theoretic Criteria
    Download  gsp.tamu.edu
    Recently, the concept of mutual information has been proposed for inferring the structure of genetic regulatory networks from gene expression profiling. After analyzing the limitat...
    Wentao Zhao, Erchin Serpedin, Edward R. Dougherty
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    BMCBI
    2008
    126views more  BMCBI 2008»
    c-REDUCE: Incorporating sequence conservation to detect motifs that correlate with expression
    13 years 7 months ago
    c-REDUCE: Incorporating sequence conservation to detect motifs that correlate with expression
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    Background: Computational methods for characterizing novel transcription factor binding sites search for sequence patterns or "motifs" that appear repeatedly in genomic ...
    Katerina Kechris, Hao Li
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