Fellenberg M, Albermann K, Zollner A, Mewes H W, Hani J
Biomax Informatics GmbH, Martinsried, Germany.
Proc Int Conf Intell Syst Mol Biol. 2000;8:152-61.
We have developed a method for the integrative analysis of protein interaction data. It comprises clustering, visualization and data integration components. The method is generally applicable for all sequenced organisms. Here, we describe in detail the combination of protein interaction data in the yeast Saccharomyces cerevisiae with the functional classification of all yeast proteins. We evaluate the utility of the method by comparison with experimental data and deduce hypotheses about the functional role of so far uncharacterized proteins. Further applications of the integrative analysis method are discussed. The method presented here is powerful and flexible. We show that it is capable of mining large-scale data sets.
我们开发了一种蛋白质相互作用数据的综合分析方法。它包括聚类、可视化和数据整合组件。该方法普遍适用于所有已测序的生物体。在这里，我们详细描述了酿酒酵母中蛋白质相互作用数据与所有酵母蛋白质功能分类的结合。我们通过与实验数据比较来评估该方法的效用，并推断关于迄今未表征蛋白质功能作用的假设。还讨论了综合分析方法的进一步应用。这里提出的方法强大且灵活。我们表明它能够挖掘大规模数据集。
