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首页> 外文期刊>Analytica chimica acta >Validation of consensus between proteomic and clinical chemistry datasets by applying a new randomisation F-test for generalised procrustes analysis
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Validation of consensus between proteomic and clinical chemistry datasets by applying a new randomisation F-test for generalised procrustes analysis

机译：蛋白质组学和临床化学数据集之间一致性的验证，通过应用新的随机F检验进行广义过程分析

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摘要

The use of proteomic data for compound characterisation and toxicity prediction has recently gathered much interest in the pharmaceutical industry, particularly with the development of new high-throughput proteomic techniques such as surface-enhanced laser desorption/ionisation time of flight mass spectrometry (SELDI-ToF) mass spectrometry. To validate these techniques, comparison with established methods such as clinical chemistry endpoints is required; however, there is currently no statistical method available to assess whether the proteomic data describes the same toxicological information as the clinical chemistry data. In this paper, generalised procrustes analysis (GPA) is applied to obtain a consensus between SELDI-ToF data and clinical chemistry data, both obtained from a study of cholestasis in rats. The significance of the consensus and the dimension of the consensus space are diagnosed by a newly developed randomisation F-test method for GPA [Food Qual. Pref. 13 (2002) 191]. Two kinds of matching were considered, using individual animals or treatment groups as samples in GPA. The results show that the SELDI-ToF data has significant consensus with clinical chemistry data, and that the consensus can be visualised in the significant dimensions of group average space. (C) 2003 Elsevier Science B.V. All rights reserved. [References: 41]
机译：蛋白质组学数据用于化合物表征和毒性预测最近在制药行业引起了广泛兴趣，特别是随着新的高通量蛋白质组学技术的发展，例如表面增强的激光解吸/电离飞行时间质谱（SELDI-ToF） ） 质谱。为了验证这些技术，需要与已建立的方法进行比较，例如临床化学终点。但是，目前尚无统计方法可用于评估蛋白质组学数据是否描述了与临床化学数据相同的毒理学信息。在本文中，应用广义过程分析（GPA）来获得SELDI-ToF数据和临床化学数据之间的共识，这两者都是从对大鼠胆汁淤积症的研究中获得的。共识的重要性和共识空间的大小是通过新开发的针对GPA的随机F检验方法来诊断的。首选13（2002）191]。考虑了两种匹配，使用单个动物或治疗组作为GPA中的样本。结果表明，SELDI-ToF数据与临床化学数据具有显着的一致性，并且可以在组平均空间的显着维度中可视化该一致性。 （C）2003 Elsevier Science B.V.保留所有权利。 [参考：41]

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