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    BMCBI
    2008
    160views more  BMCBI 2008»
    Predicting cancer involvement of genes from heterogeneous data
    13 years 8 months ago
    Predicting cancer involvement of genes from heterogeneous data
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    Background: Systematic approaches for identifying proteins involved in different types of cancer are needed. Experimental techniques such as microarrays are being used to characte...
    Ramon Aragues, Chris Sander, Baldo Oliva
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    BMCBI
    2008
    138views more  BMCBI 2008»
    Using neural networks and evolutionary information in decoy discrimination for protein tertiary structure prediction
    13 years 8 months ago
    Using neural networks and evolutionary information in decoy discrimination for protein tertiary structure prediction
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    Background: We present a novel method of protein fold decoy discrimination using machine learning, more specifically using neural networks. Here, decoy discrimination is represent...
    Ching-Wai Tan, David T. Jones
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    BMCBI
    2008
    121views more  BMCBI 2008»
    Stability of gene contributions and identification of outliers in multivariate analysis of microarray data
    13 years 8 months ago
    Stability of gene contributions and identification of outliers in multivariate analysis of microarray data
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    Background: Multivariate ordination methods are powerful tools for the exploration of complex data structures present in microarray data. These methods have several advantages com...
    Florent Baty, Daniel Jaeger, Frank Preiswerk, Mart...
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    BMCBI
    2008
    136views more  BMCBI 2008»
    An efficient method for the prediction of deleterious multiple-point mutations in the secondary structure of RNAs using suboptim
    13 years 8 months ago
    An efficient method for the prediction of deleterious multiple-point mutations in the secondary structure of RNAs using suboptim
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    Background: RNAmute is an interactive Java application which, given an RNA sequence, calculates the secondary structure of all single point mutations and organizes them into categ...
    Alexander Churkin, Danny Barash
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    BMCBI
    2008
    208views more  BMCBI 2008»
    GraphFind: enhancing graph searching by low support data mining techniques
    13 years 8 months ago
    GraphFind: enhancing graph searching by low support data mining techniques
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    Background: Biomedical and chemical databases are large and rapidly growing in size. Graphs naturally model such kinds of data. To fully exploit the wealth of information in these...
    Alfredo Ferro, Rosalba Giugno, Misael Mongiov&igra...
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