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Prediction of Combinatorial Protein-Protein Interaction Networks from Expression Data Using Statistics on Conditional Probability

机译:使用条件概率统计从表达数据预测组合蛋白-蛋白质相互作用网络

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In this paper we propose a method to retrieve combinatorial protein-protein interaction to predict the interaction networks from protein expression data based on statistics on conditional probability. Our method retrieves the combinations of three proteins A, B and C which include combinatorial effects among them. The combinatorial effect considered in this paper does not include the "sole effect" between two proteins A-C or B-C, so that we can retrieve the combinatorial effect which appears only when proteins A, B and C get together. We evaluate our method with a real protein expression data set and obtain several combinations of three proteins in which protein-protein interactions are prediced.
机译:在本文中,我们提出了一种检索组合蛋白质-蛋白质相互作用的方法,以基于条件概率统计的蛋白质表达数据预测相互作用网络。我们的方法检索了三种蛋白质A,B和C的组合,其中包括组合效应。本文中考虑的组合效应不包括两种蛋白质A-C或B-C之间的“唯一效应”,因此我们可以检索仅在蛋白质A,B和C聚集在一起时出现的组合效应。我们用真实的蛋白质表达数据集评估了我们的方法,并获得了其中蛋白质与蛋白质相互作用被预测的三种蛋白质的几种组合。

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