Some New Attempts to Process Biological Data

Shuxun Yang, Mingpu Li, Jun Luo, Yupeng Lu, Chao Yan, Xu-Qing Tang
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引用次数: 1

Abstract

The purpose of this paper is to realize system analysis and algorithm design for biological data. In this paper, primary bladder cancer is taken as a typical example, the structure of the system is extracted by hierarchical clustering method, and the function of the system is mined by convolutional neural network technology. Based on these methods, a complex system structure analysis model and an algorithm are constructed to study the big data system. Furthermore, the feasibility study of relevant theories and methods are carried out while the application and expand of technology are mentioned, combined with the actual data. The effectiveness and practicability of the algorithm and system are also verified by simulation.
处理生物数据的一些新尝试
本文的目的是实现对生物数据的系统分析和算法设计。本文以原发性膀胱癌为典型案例,采用层次聚类方法提取系统结构,采用卷积神经网络技术挖掘系统功能。在此基础上,构建了复杂系统结构分析模型和算法来研究大数据系统。结合实际数据,对相关理论和方法进行了可行性研究,并对技术的应用和推广进行了探讨。通过仿真验证了算法和系统的有效性和实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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