基于k -媒质的模拟遗传数据生成新算法

2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems Pub Date : 2012-10-01 DOI:10.1109/CCIS.2012.6664360

Jianan Wu, Chunguang Zhou, Zhangxu Li, Xuefei Xia, Seng Zhang, You Zhou

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引用次数: 0

摘要

遗传数据对生物学研究非常重要，但很难通过实验获得。本文介绍了一种基于k -介质的模拟遗传数据生成算法。该算法提出了聚类通道的概念，并将其用于生成模拟数据。该方法可以有效地消除原始数据中的噪声。实验结果表明了模拟遗传数据的可靠性。利用SAM对模拟数据和原始数据进行分析，得出模拟数据能够有效验证差异表达基因检测算法的结论。

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A novel algorithm for generating simulated genetic data based on K-medoids

Genetic data is very important for biological research, but it is hard to be obtained by experiment. In this paper, we introduce an algorithm for generating simulated genetic data based on K-mediods. A concept of Cluster Channel is proposed in this algorithm and used to generate simulated data. The noise of origin data could be eliminated using the proposed method. The experimental results show reliability of simulated genetic data. SAM is used to analyze the simulated data and original data, and we get a conclusion that the simulated data can effectively validate differentially expressed gene detected algorithm.

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2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems

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