METHOD FOR IDENTIFYING MICROORGANISMS VIA MASS SPECTROMETRY AND SCORE NORMALIZATION
    2.
    发明申请
    METHOD FOR IDENTIFYING MICROORGANISMS VIA MASS SPECTROMETRY AND SCORE NORMALIZATION 审中-公开
    通过质谱分析和分辨率正常化识别微生物的方法

    公开(公告)号:US20140343864A1

    公开(公告)日:2014-11-20

    申请号:US14361885

    申请日:2012-11-30

    Abstract: An identification by mass spectrometry of a microorganism from among reference microorganisms represented by reference data sets includes: determining a set of data of the microorganism according to a spectrum; for each reference microorganism, calculating a distance between the determined and reference sets; and calculating a probability f(m) according to relation f  ( m ) = pN  ( m  μ , σ ) pN  ( m  μ , σ ) + ( 1 - p )  N  ( m  μ _ , σ _ ) where: m is the distance calculated for the reference microorganism; N(m|μ,σ) is the value, for m, of a random variable modeling the distance between a reference microorganism to be identified and the reference microorganism, when the microorganism is the reference microorganism; N(m| μ, σ) is the value, for m, of a random variable modeling the distance between a microorganism to be identified and the reference microorganism, when the microorganism is not the reference microorganism; and p is a scalar in the range from 0 to 1.

    Abstract translation: 通过参考数据组所表示的参考微生物中的微生物的质谱鉴定包括:根据光谱确定微生物的一组数据; 对于每个参考微生物,计算所确定的和参考组之间的距离; 并且根据关系式(m)= pN(mμ,&sgr;)pN(mμ,&sgr)+(1-p)N(mμ)计算概率f(m) _,&sgr; _)其中:m是参考微生物计算的距离; 当微生物是参照微生物时,N(m |μ,&sgr;)是m的值,用于建立待鉴定的参考微生物与参照微生物之间的距离的随机变量; N(m |μ,&sgr;)是当微生物不是参照微生物时,随机变量建模待鉴定微生物与参照微生物之间的距离的m值; p是0到1范围内的标量。

    Method for identifying microorganisms via mass spectrometry and score normalization

    公开(公告)号:US10546735B2

    公开(公告)日:2020-01-28

    申请号:US14361885

    申请日:2012-11-30

    Abstract: An identification by mass spectrometry of a microorganism from among reference microorganisms represented by reference data sets includes: determining a set of data of the microorganism according to a spectrum; for each reference microorganism, calculating a distance between the determined and reference sets; and calculating a probability f(m) according to relation f ⁡ ( m ) = pN ⁡ ( m ❘ μ , σ ) pN ⁡ ( m ❘ μ , σ ) + ( 1 - p ) ⁢ N ⁡ ( m ❘ μ _ , σ _ ) where: m is the distance calculated for the reference microorganism; N(m|μ,σ) is the value, for m, of a random variable modeling the distance between a reference microorganism to be identified and the reference microorganism, when the microorganism is the reference microorganism; N(m|μ,σ) is the value, for m, of a random variable modeling the distance between a microorganism to be identified and the reference microorganism, when the microorganism is not the reference microorganism; and p is a scalar in the range from 0 to 1.

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