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Data Pre-Processing Methodology for Computational Experiment in Analyzing Protein Interaction Networks

机译:分析蛋白质相互作用网络的计算实验数据预处理方法

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This paper describes a process flow of data preprocessing for computational experiment in analyzing protein interaction networks. The aim of this process flow is to fulfill the requirement of our graph-based algorithm's solution and to ensure that the representation of protein interaction network which consist of nodes and edges are accurate. The raw data is obtained from one of protein interaction database called Database of interacting Proteins (here-on known as DIP)). We describe briefly the DIP and since our algorithm requires the distance matrix as an input; a few important steps need to be taken to process the data. We limit this paper to data pre-preprocessing only and the algorithmic process is not discussed.
机译:本文介绍了分析蛋白质相互作用网络的计算实验的数据预处理的过程流程。该过程流程的目的是满足基于图形的算法的解决方案的要求,并确保由节点和边缘组成的蛋白质交互网络的表示是准确的。原始数据是从称为蛋白质相互作用数据库之一获得的,称为相互作用蛋白质(此处称为DIP))。我们简要描述了倾向,因为我们的算法要求距离矩阵作为输入;需要采取一些重要步骤来处理数据。我们将本文限制为数据预处理预处理,并未讨论算法过程。

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