Breast Cancer Diagnosis from Proteomic Mass Spectrometry Data: A Comparative Evaluation
Breast Cancer Diagnosis from Proteomic Mass Spectrometry Data: A Comparative Evaluation
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DOI：
10.2202/1544-6115.1435
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发表时间：
2008-01-01
影响因子：
0.9
通讯作者：
Hand, David J.
中科院分区：
文献类型：
--
作者：
Hand, David J.
广泛的不同的分类器适用于蛋白质组学质谱数据的性能结果，在一个盲目的比较评估组织的巴特Mertens，进行审查。不同的方法进行了总结，如何评估和比较的预测问题进行了描述，并检查不同的方法的结果。虽然不同的方法表现不同，但它们的排名顺序会根据如何衡量性能而变化，因此无法得出明确的结论。相反，很明显，重要的不是方法本身，而是方法和用户的交互作用-用户对方法的复杂程度。尽管如此，这样的竞争确实起到了有用的作用，即设置（不断改进）基线，新研究人员可以根据这些基线来发挥他们的智慧和方法，并提供评估新方法的标准。
The performance results of a wide range of different classifiers applied to proteomic mass spectra data, in a blind comparative assessment organised by Bart Mertens, are reviewed. The different approaches are summarised, issues of how to evaluate and compare the predictions are described, and the results of the different methods are examined. Although the different methods perform differently, their rank ordering varies according to how one measures performance, so that one cannot draw unequivocal conclusions about which is 'best.' Instead, it is clear that what matters is not the method by itself, but the interaction of method and user - the degree of sophistication of the user with a method. Nevertheless, such competitions do serve the useful role of setting (constantly improving) baselines against which new researchers can pit their wits and methods, as well as providing standards against which new methods should be assessed.