School of Information Yungui, Anhui Finance & Trade Vocational College, Hefei230601, China.
Management and Finance, University of Sussex, BrightonBN19RH, UK.
Cell Mol Biol (Noisy-le-grand). 2020 Oct 31;66(7):93-102.
At present, bioinformatics research focuses on the development from the accumulation of biological data to the integration and processing of biological data. This paper designs a bio gene information collection system based on data mining technology. In the system, the information of gene web analysis database, data mining model database and gene chip database is transferred to gene algorithm tool library, which can extract, transform and load the biological gene information, transfer the collected and processed biological gene information to gene general chip and web database analysis logic, and pass it to gene expression spectrum chip/data mining module through API function GUI, through the data mining module GUI feedback to the system users. The system hardware stores the biochip information in the virtual chip set model through the gene expression spectrum data analysis model uses the gene expression similarity analysis model to analyze the expression similarity of the biological gene information, and stores the information in the gene chip database; through the multi-layer structure model, constructs the web genome biochip including the application layer, the data processing layer and the representation layer. The information analysis module analyzes the biological gene information and stores the information in the gene web analysis database. The system software adopts the method of automatic collection of biological gene data based on the web to realize the collection of biological gene information, and gives the main implementation technology of the system. The experimental results show that the system can effectively collect biological gene information, and has high accuracy and anti-noise performance.
目前，生物信息学的研究重点是从生物数据的积累发展到生物数据的整合和处理。本文设计了一种基于数据挖掘技术的生物基因信息采集系统。在系统中，基因网络分析数据库、数据挖掘模型数据库和基因芯片数据库的信息被传输到基因算法工具库，该工具库可以提取、转换和加载生物基因信息，将收集和处理的生物基因信息传输到基因通用芯片和网络数据库分析逻辑，并通过 API 功能 GUI 将其传输到基因表达谱芯片/数据挖掘模块，通过数据挖掘模块 GUI 将反馈信息传递给系统用户。系统硬件通过基因表达谱数据分析模型，将生物芯片信息存储在虚拟芯片集模型中，利用基因表达相似性分析模型对生物基因信息的表达相似性进行分析，并将信息存储在基因芯片数据库中；通过多层结构模型，构建包括应用层、数据处理层和表示层的网络基因组生物芯片。信息分析模块对生物基因信息进行分析，并将信息存储在基因网络分析数据库中。系统软件采用基于网络的生物基因数据自动采集方法，实现了生物基因信息的采集，并给出了系统的主要实现技术。实验结果表明，该系统能够有效地采集生物基因信息，具有较高的准确性和抗噪声性能。
