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    BMCBI
    2008
    114views more  BMCBI 2008»
    Identifying a few foot-and-mouth disease virus signature nucleotide strings for computational genotyping
    13 years 7 months ago
    Identifying a few foot-and-mouth disease virus signature nucleotide strings for computational genotyping
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    Background: Serotypes of the Foot-and-Mouth disease viruses (FMDVs) were generally determined by biological experiments. The computational genotyping is not well studied even with...
    Guohui Lin, Zhipeng Cai, Junfeng Wu, Xiu-Feng Wan,...
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    BMCBI
    2007
    175views more  BMCBI 2007»
    Fast automated cell phenotype image classification
    13 years 7 months ago
    Fast automated cell phenotype image classification
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    Background: The genomic revolution has led to rapid growth in sequencing of genes and proteins, and attention is now turning to the function of the encoded proteins. In this respe...
    Nicholas A. Hamilton, Radosav S. Pantelic, Kelly H...
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    BMCBI
    2008
    202views more  BMCBI 2008»
    Network motif-based identification of transcription factor-target gene relationships by integrating multi-source biological data
    13 years 7 months ago
    Network motif-based identification of transcription factor-target gene relationships by integrating multi-source biological data
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    Background: Integrating data from multiple global assays and curated databases is essential to understand the spatiotemporal interactions within cells. Different experiments measu...
    Yuji Zhang, Jianhua Xuan, Benildo de los Reyes, Ro...
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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 7 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
    2010
    224views more  BMCBI 2010»
    An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
    13 years 7 months ago
    An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
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    Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
    Susmita Datta, Vasyl Pihur, Somnath Datta
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