Comparison of the effectiveness of variable selection method for creating a diagnostic panel of biomarkers for mass spectrometric lipidome analysis

Tokareva Alisa O.; Chagovets Vitaliy V.; Kononikhin Alexey S.; Starodubtseva Natalia L.; Nikolaev Evgeny N.; Frankevich Vladimir E.

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Comparison of the effectiveness of variable selection method for creating a diagnostic panel of biomarkers for mass spectrometric lipidome analysis

机译：可变选择方法的效果比较模拟生物标志物诊断面板的质谱脂质体分析

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Hundreds of compounds are detected during untargeted lipidomics analysis. The potential efficacy of lipids as disease markers makes it important to select the species with the most discriminative potential. Datasets based on a selected class of lipids allow the development of a high-quality diagnostic model using orthogonal projection on latent structure. The combination of selection of lipids by variable importance in projection and by Akaike information criteria makes it possible to build a reliable diagnostic model based on logistic regression.

机译：在非目标脂质组学分析中检测到数百种化合物。脂类作为疾病标记物的潜在功效使得选择最具鉴别潜力的物种非常重要。基于选定类脂的数据集允许使用对潜在结构的正交投影开发高质量的诊断模型。通过投影中的可变重要性和Akaike信息标准选择脂质，可以建立基于逻辑回归的可靠诊断模型。

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来源
《Journal of mass spectrometry: JMS》 |2021年第3期|共5页
作者
Tokareva Alisa O.; Chagovets Vitaliy V.; Kononikhin Alexey S.; Starodubtseva Natalia L.; Nikolaev Evgeny N.; Frankevich Vladimir E.;
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作者单位

Moscow Inst Phys &

Technol Moscow Russia;

Natl Med Res Ctr Obstet Gynecol &

Perinatol Healthcare Russian Federat Moscow Russia;

Skolkovo Inst Sci &

Technol CDISE Moscow Russia;

Moscow Inst Phys &

Technol Moscow Russia;

Skolkovo Inst Sci &

Technol CDISE Moscow Russia;

Natl Med Res Ctr Obstet Gynecol &

Perinatol Healthcare Russian Federat Moscow Russia;

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原文格式 PDF
正文语种 eng
中图分类分析化学;
关键词
AIC; biomarkers; feature selection; LASSO; logistic regression; mass spectrometry;

机译：None;

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机译：血浆血脂组的质谱分析作为疾病诊断，有效性评估和药物治疗的方法
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机译：用于开发可预测登革出血热的生物标志物的变量选择方法
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机译：质谱脂质脂质数据分析软件工具
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6. The development of mass spectrometric techniques in the analysis of biomarkers and compounds of pharmaceutical and environmental interest. [D] . Higbee, Daniel J. 2006

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Comparison of the effectiveness of variable selection method for creating a diagnostic panel of biomarkers for mass spectrometric lipidome analysis

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