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    BMCBI
    2007
    127views more  BMCBI 2007»
    Predicting the phenotypic effects of non-synonymous single nucleotide polymorphisms based on support vector machines
    13 years 8 months ago
    Predicting the phenotypic effects of non-synonymous single nucleotide polymorphisms based on support vector machines
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    Background: Human genetic variations primarily result from single nucleotide polymorphisms (SNPs) that occur approximately every 1000 bases in the overall human population. The no...
    Jian Tian, Ningfeng Wu, Xuexia Guo, Jun Guo, Juhua...
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    ECCV
    2004
    Springer
    130views Computer Vision» more  ECCV 2004»
    Statistical Learning of Evaluation Function for ASM/AAM Image Alignment
    14 years 1 months ago
    Statistical Learning of Evaluation Function for ASM/AAM Image Alignment
    Download  www.cbsr.ia.ac.cn
    Alignment between the input and target objects has great impact on the performance of image analysis and recognition system, such as those for medical image and face recognition. A...
    Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
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    FGCS
    2007
    160views more  FGCS 2007»
    Distributed data mining in grid computing environments
    13 years 8 months ago
    Distributed data mining in grid computing environments
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    The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an e...
    Ping Luo, Kevin Lü, Zhongzhi Shi, Qing He
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    BMCBI
    2010
    177views more  BMCBI 2010»
    Clustering of protein families into functional subtypes using Relative Complexity Measure with reduced amino acid alphabets
    13 years 8 months ago
    Clustering of protein families into functional subtypes using Relative Complexity Measure with reduced amino acid alphabets
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    Background: Phylogenetic analysis can be used to divide a protein family into subfamilies in the absence of experimental information. Most phylogenetic analysis methods utilize mu...
    Aydin Albayrak, Hasan H. Otu, Ugur O. Sezerman
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    BMCBI
    2007
    133views more  BMCBI 2007»
    Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
    13 years 8 months ago
    Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
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    Background: Gene expression measurements during the development of the fly Drosophila melanogaster are routinely used to find functional modules of temporally co-expressed genes. ...
    Ivan G. Costa, Roland Krause, Lennart Opitz, Alexa...
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