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    • 3. 发明授权
    • Feature pattern recognition system, method, and program
    • 特征模式识别系统,方法和程序
    • US08244474B2
    • 2012-08-14
    • US11658130
    • 2005-08-02
    • Yasuo MatsuyamaRyo KawamuraKeita Shimoda
    • Yasuo MatsuyamaRyo KawamuraKeita Shimoda
    • G01N33/50G01N33/48
    • G06F19/22
    • A feature pattern recognition system, method, and program capable of recognizing feature pattern with a high accuracy are provided. Discrete symbols (nucleotide symbols or the like) constituting a to-be-recognized sequence (a DNA sequence or the like) are converted to numerals by using symbol frequencies that are obtained according to sequence positions or types of the discrete symbols to generates test data or a test data matrix Xtest, a matrix calculation (Ytest=WpromXtest or the like) of multiplying a separation matrix (Wprom or the like) obtained by an independent component analysis or a principal component analysis with the test data or the test data matrix Xtest is performed, separation data or a separation data matrix Ytest is obtained, and it is decided in which side of a threshold exists a feature decision element (elements of first row or the like) of the Ytest, so that it is decided whether or not the feature pattern (a promoter or the like) exists in the sequence by using a feature decision element (multiple rows of elements may be used).
    • 提供了能够高精度地识别特征图案的特征模式识别系统,方法和程序。 通过使用根据离散符号的序列位置或类型获得的符号频率将构成待认可序列(DNA序列等)的离散符号(核苷酸符号等)转换为数字,以产生测试数据 或测试数据矩阵Xtest,将通过独立分量分析或主成分分析获得的分离矩阵(Wprom等)与测试数据或测试数据矩阵Xtest相乘的矩阵计算(Ytest = WpromXtest等) 执行分离数据或分离数据矩阵Ytest,并且确定阈值的哪一侧存在Ytest的特征决定元素(第一行的元素等),从而确定是否 通过使用特征判定元素(可以使用多行元素),在序列中存在特征图案(启动子等)。