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The discrimination of three genotypes in STR locus D5S818 based on ultraviolet spectroscopy-chemical pattern recognition

机译:基于紫外光谱-化学模式识别的STR基因座D5S818的三种基因型识别

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A simple, sensitive and low-cost approach for genotyping of a short tandem repeat (STR) based on ultraviolet spectroscopy (UVS)-chemical pattern recognition is presented. Genotypes 10-11, 11-11 and 11-12 of STR locus D5S818 are selected as the objective subjects. Through optimized polymerase chain reaction and ultraviolet spectrum measurement, ultraviolet spectra of all samples are obtained. Based on principal discriminant variate (PDV) and discriminant partial least squares (DPLS), PDV and DPLS models are established by using ultraviolet spectra as recognition variables. By optimizing the weight parameter λ in PDV algorithms and the number of latent variables in DPLS algorithms, optimal PDV and DPLS models are obtained. The two optimal models have good separability and robustness, as well as excellent prediction accuracy, which provides a methodological support for establishing ultraviolet spectrum-based classification for all genotypes of D5S818 locus and other STR loci...
机译:提出了一种简单,敏感,低成本的短串联重复序列(STR)的基因分型方法,该方法基于紫外光谱(UVS)-化学模式识别。选择STR基因座D5S818的基因型10-11、11-11和11-12作为目标对象。通过优化的聚合酶链反应和紫外光谱测量,获得了所有样品的紫外光谱。基于主判别变量(PDV)和判别偏最小二乘(DPLS),以紫外光谱为识别变量,建立了PDV和DPLS模型。通过优化PDV算法中的权重参数λ和DPLS算法中潜在变量的数量,可以获得最佳的PDV和DPLS模型。这两个最优模型具有良好的可分离性和鲁棒性,以及出色的预测精度,这为建立基于紫外线光谱的D5S818基因座和其他STR基因座的所有基因型分类提供了方法论支持。

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