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网络模型性能分析,用于识别健康与癌变结肠基因。

Performance Analysis of Network Model to Identify Healthy and Cancerous Colon Genes.

出版信息

IEEE J Biomed Health Inform. 2016 Mar;20(2):710-6. doi: 10.1109/JBHI.2015.2408366. Epub 2015 Feb 27.

Abstract

Modeling of cancerous and healthy Homo Sapiens colon gene using electrical network is proposed to study their behavior. In this paper, the individual amino acid models are designed using hydropathy index of amino acid side chain. The phase and magnitude responses of genes are examined to screen out cancer from healthy genes. The performance of proposed modeling technique is judged using various performance measurement metrics such as accuracy, sensitivity, specificity, etc. The network model performance is increased with frequency, which is analyzed using the receiver operating characteristic curve. The accuracy of the model is tested on colon genes and achieved maximum 97% at 10-MHz frequency.

摘要

提出了一种使用电路网络对健康的和癌变的人类结肠基因进行建模的方法,以研究它们的行为。在本文中,使用氨基酸侧链的疏水性指数来设计单个氨基酸模型。检测基因的相位和幅度响应,以从健康基因中筛选出癌变基因。使用各种性能测量指标,如准确性、灵敏度、特异性等来判断所提出的建模技术的性能。通过接收者操作特征曲线来分析网络模型性能随频率的增加情况。该模型在结肠基因上的准确性测试达到了最高 97%,频率为 10MHz。

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