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    BMCBI
    2010
    114views more  BMCBI 2010»
    An integrative modular approach to systematically predict gene-phenotype associations
    13 years 8 months ago
    An integrative modular approach to systematically predict gene-phenotype associations
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    Background: Complex human diseases are often caused by multiple mutations, each of which contributes only a minor effect to the disease phenotype. To study the basis for these com...
    Michael R. Mehan, Juan Nunez-Iglesias, Chao Dai, M...
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    BMCBI
    2010
    159views more  BMCBI 2010»
    Predicting domain-domain interaction based on domain profiles with feature selection and support vector machines
    13 years 8 months ago
    Predicting domain-domain interaction based on domain profiles with feature selection and support vector machines
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    Background: Protein-protein interaction (PPI) plays essential roles in cellular functions. The cost, time and other limitations associated with the current experimental methods ha...
    Alvaro J. González, Li Liao
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    BMCBI
    2008
    142views more  BMCBI 2008»
    Identification of biomarkers for genotyping Aspergilli using non-linear methods for clustering and classification
    13 years 8 months ago
    Identification of biomarkers for genotyping Aspergilli using non-linear methods for clustering and classification
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    Background: In the present investigation, we have used an exhaustive metabolite profiling approach to search for biomarkers in recombinant Aspergillus nidulans (mutants that produ...
    Irene Kouskoumvekaki, Zhiyong Yang, Svava Ó...
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    BMCBI
    2008
    129views more  BMCBI 2008»
    Prediction of the outcome of preoperative chemotherapy in breast cancer using DNA probes that provide information on both comple
    13 years 8 months ago
    Prediction of the outcome of preoperative chemotherapy in breast cancer using DNA probes that provide information on both comple
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    Background: DNA microarray technology has emerged as a major tool for exploring cancer biology and solving clinical issues. Predicting a patient's response to chemotherapy is...
    René Natowicz, Roberto Incitti, Euler Guima...
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    BMCBI
    2006
    111views more  BMCBI 2006»
    PepDist: A New Framework for Protein-Peptide Binding Prediction based on Learning Peptide Distance Functions
    13 years 8 months ago
    PepDist: A New Framework for Protein-Peptide Binding Prediction based on Learning Peptide Distance Functions
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    Background: Many different aspects of cellular signalling, trafficking and targeting mechanisms are mediated by interactions between proteins and peptides. Representative examples...
    Tomer Hertz, Chen Yanover
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